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Steel structures face significant challenges in long-term maintenance because of complex and unstable service environments. Fortunately, the digital twin technique offers an excellent solution by creating a digital model and continuously updating it with real-time monitoring data. To determine the development and application status of the digital twin technique in steel structures, a review drawn on the latest literature from the past fifteen years was conducted. The bibliometric analysis and innovation discussion of these studies primarily focused on publication details, keyword information, and application specifics. Additionally, significant attention was given to the evolution of digital twin definitions, modeling methodologies, and application fields. The analysis results indicate that the digital twin technique in steel structures has made significant advancements in both its definition and modeling methodologies, thanks to worldwide contributions. Meanwhile, this technique also demonstrates advantages in the applications of material deformation, structural monitoring, infrastructure maintenance, and fatigue assessment. Based on this review of the existing literature, the future development of the digital twin technique in steel structures should focus on model innovation, application expansion, and performance optimization.

 

 

Solid-state batteries (SSBs) hold the potential to revolutionize energy storage systems by offering enhanced safety, higher energy density, and longer life cycles compared with conventional lithium-ion batteries. However, the widespread adoption of SSBs faces significant challenges, including low charge mobility, high internal resistance, mechanical degradation, and the use of unsustainable materials. These technical and manufacturing hurdles have hindered the large-scale commercialization of SSBs, which are crucial for applications such as electric vehicles, portable electronics, and renewable energy storage. This study systematically reviews the global SSB patent landscape using a cross-sectional bibliometric and thematic analysis to identify innovations addressing key technical challenges. The study classifies innovations into key problem and solution areas by meticulously examining 244 patents across multiple dimensions, including year, geographic distribution, inventor engagement, award latency, and technological focus. The analysis reveals significant advancements in electrolyte materials, electrode designs, and manufacturability. This research contributes a comprehensive analysis of the technological landscape, offering valuable insights into ongoing advancements and providing a roadmap for future research and development. This work will benefit researchers, industry professionals, and policymakers by highlighting the most promising areas for innovation, thereby accelerating the commercialization of SSBs, and supporting the transition toward more sustainable and efficient energy storage solutions.

 

 

Importance: This bibliometric analysis of the application of metaheuristics in transportation and logistics examines over two decades of research (1999–present), aiming to uncover global trends, anticipate future directions, and highlight how interconnections between key factors facilitate the development of practical and sustainable solutions for the industry. Methodology: A quantitative approach is employed to analyze the evolution of the discipline by reviewing an extensive database of relevant research and key authors and utilizing advanced data processing tools. This analysis enables the assessment of advances in the optimization of metaheuristic models, with an impact on time and cost savings from an economically sustainable perspective. Results: The use of metaheuristics optimizes the efficiency and competitiveness of the transportation sector while promoting a positive economic impact on companies. The main areas of application are optimization and metaheuristic methods, cost and operational efficiency, planning and scheduling, logistics and transportation, supply chain and logistics networks, energy and sustainability, and demand and users. Additionally, genetic algorithms stand out as particularly important. Conclusions: This research provides a comprehensive and detailed view of the impact of metaheuristics on the transportation sector, highlighting their current and future trends (such as artificial intelligence) and their economic relevance.

 

 

The industrial application of high hydrostatic pressure (HHP) can be traced back to the late 19th century in the fields of mechanical and chemical engineering. Its growth as a food preservation technique has developed and massified in certain countries in the last 30 years. However, there is no global overview of the research conducted on this topic. The aim of this study was to recognize global trends in the scientific population on the subject of HHP over time at the main levels of analysis: sources, authors, and publications. This article provides a summary of research related to the use of HHP through a bibliometric analysis using information obtained from the Web of Science (WoS) database between the years 1975–2023, using the terms “pascalization”,“high-pressure processing”, and “high hydrostatic pressure” as input keywords. The results are shown in tables, graphs, and relationship diagrams. The countries most influential and productive in high hydrostatic pressure are the People’s R China, the USA, and Spain, with 1578, 1340, and 1003 articles, respectively. Conversely, the authors with the highest metrics are Saraiva, J. (Universidade Aveiro-Portugal), Hendrickx, M. (Katholieke Universiteit Leuven-Belgium), and Wang, T. (China Agricultural University-China). The most productive journals are Innovative Food Science & Emerging Technologies, Food Chemistry, and LWT-Food Science and Technology, all belonging to Elsevier, with 457, 281, and 264 documents, respectively. In relation to the connection between the documents under study and the United Nations Sustainable Development Goals (SDGs), most documents in the period 1975–2023 are linked to SDG 03 (good health and well-being), followed by SDG 02 (zero hunger), and SDG 07 (affordable and clean energy). Finally, the information presented in this work may give valuable key insights for those interested in the development of this interesting topic in non-thermal food preservation. Additionally, it serves as a strategic resource for stakeholders, such as food industry leaders, policymakers, and research funding bodies, by providing a clear understanding of the current state of knowledge and innovation trends. This enables informed decision-making regarding research priorities, investment opportunities, and the development of regulatory frameworks to support the adoption and advancement of non-thermal preservation technologies, ultimately contributing to safer and more sustainable food systems.

 

 

With material advancement, phase change materials (PCMs) of high latent heat of phase transition can revolutionize the thermal energy storage market. However, limitations such as volume expansion leading to leakage and low thermal conductivity need to be addressed. These two limitations can be answered by holding the core phase change material in a porous conductive framework, with sites for the PCM to reside by capillarity. This work presents a comprehensive literature review along with bibliometric analysis on form stable composites. The review is conducted to show the evolution of form stable phase materials and their applications. The article has been divided into sections based on the supporting matrix used. In this paper, authors have included sections based on the chemical nature of the supporting matrix. The properties of the composite have been thoroughly compared to those of the parent PCM to provide a clearer and more analytical understanding. A short section is also dedicated to the latest and futuristic applications of the form stable PCM composites in this review article.

 

 

Nanomaterials are currently one of the most popular emerging materials used in different applications such as drug delivery, water treatment, cancer treatment, electronic, food preservations, and production of pesticide. This is due to their interesting features including size-dependent properties, lightweight, biocompatibility, amphiphilicity and biodegradability. They offer wide possibilities for modification and are used in multiple functions with enormous possibilities. Some of them are medically suitable which has opened new opportunities for medical improvement especially for human health. These characteristics also make nanomaterials one of the pioneers in green materials for various needs, especially in environmental engineering and energy sectors. In this review, several synthesis approaches for nanoparticles mainly physical, chemical, and biological have been discussed extensively. Furthermore, bibliometric analysis on the synthesis of nanoparticles was evaluated. About 117,162 publications were considered, of which 92% are journal publications. RSC Advances is the most published outlet on the synthesis of nanoparticles and China has the highest number of researchers engaged in the synthesis of nanoparticles. It was noted in the evaluation of synthesis approach that biological approach is the savest method but with a low yield, while the chemical approach offers a high yield with some level of hazardous effect. Also, the bibliometric analysis revealed that the field of nanotechnology is a trending and hot ground for research.

 

 

Gum Arabic (GA) is a natural ingredient used in food, pharmaceutical, and cosmetic industries. Numerous studies have been conducted on the physicochemical properties and applications of GA. This study aimed to map knowledge and perform a bibliometric analysis of GA research (GAR) for over a century ago. A search was carried out in the Scopus database using relevant terms and Boolean operators (Gum Arabic OR Acacia gum, OR gum sudani), and data-driven documents in English were extracted. The extracted data included citations, bibliographical and geographical information, abstracts, and keywords. The CVS and BibTex data files were analyzed using VOSviewer and Bibliometrix platforms, respectively. The annual increase in GAR is incremental, consisting of 5313 documents over 108 years and produced by 27 scientific disciplines. The three most productive countries are India, China, and the United States. The rate of international co-authorship was 22.07%, with China being the most collaborative country. Food Hydrocolloids is the most prestigious source. Phillips, G.O., is the most prolific, cited, and co-cited author. Four clusters were detected based on the co-citation analysis of the authors. The most frequent terms in the GAR were “nanoparticles,” “carbon nanotubes,” “stability,” “rats,” “microencapsulation,” and ”lipase.” “Carbon nanotubes” and “microencapsulation” are evolving subjects in GAR. 2000 and 2010 are the turning points in GAR’s thematic evolution. “Ultrasound,” “Pickering emulsion,” “sensory evaluation,” “bioactive compounds,” “cytotoxicity,” and “green synthesis” are the trending topics. Our findings reveal the most common scientific research on GAR, with the physiochemical qualities of GA as a dietary and pharmaceutical constituent being the most common. The marketing, production, tapping, and processing of GA requires further investigation.

 

 

Renewable hydrogen is widely considered a key technology to achieve net zero emissions in industrial production processes. This paper presents a structured bibliometric analysis, examining current and future applications of hydrogen as feedstock and fuel across industries, quantifying demand for different industrial processes, and identifying greenhouse gas emissions reduction potential against the context of current fossil-based practices. The findings highlight significant focus on hydrogen as feedstock for steel, ammonia, and methanol production and its use in high-to medium-temperature processes, and a general emphasis on techno-economic and technological evaluations of hydrogen applications across industries. However, gaps exist in research on hydrogen use in sectors like cement, glass, waste, pulp and paper, ceramics, and aluminum. Additionally, the analysis reveals limited attention in the identified literature to hydrogen supply chain efficiencies, including conversion and transportation losses, as well as geopolitical and raw material challenges. The analysis underscores the need for comprehensive and transparent data to align hydrogen use with decarbonization goals, optimize resource allocation, and inform policy and investment decisions for strategic deployment of renewable hydrogen.

 

 

This research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN). A MATLAB model for the Gwagwalada-Katampe 330kV transmission line in Nigeria was implemented to generate fault datasets. Voltage and current fault parameters were utilized to train and simulate the ANN network architecture selected for each stage of fault detection. Four types of faults were considered, along with a fifth condition representing no fault. The results illustrated the success of the developed model in identifying various fault conditions and system parameters on the Gwagwalada-Katampe 330kV transmission line, modelled using MATLAB Simulink.

 

 

PT. Electronics Components Indonesia manufactures capacitors and focuses on enhancing productivity and operational efficiency of the frame welding machines through effective maintenance. This study employs a quantitative method to analyze the Overall Equipment Effectiveness (OEE) values, including availability, performance efficiency, and rate of quality, as well as conducting a Six Big Losses analysis. The results indicate that the average availability reached 97.83%, with a significant decrease in August due to downtime. Performance efficiency remained consistently above 90%, although higher product output tended to reduce efficiency. The rate of quality was stable and high, reflecting improvements in production processes and quality control. The average OEE value reached 88%, exceeding the global standard of 85%. To further enhance the effectiveness of the frame welding machines, suggested improvements include operator training, regular performance evaluations, attention to operator well-being, selection of high-quality raw materials, updating SOPs, regular preventive maintenance, improving workplace safety, and investing in backup energy systems. In conclusion, the improvements implemented successfully enhanced the performance and operational quality of the frame welding machines.

 

 

This paper presents a literature survey on the integration of Data Envelopment Analysis (DEA) with Lean Manufacturing and Lean Healthcare, highlighting the key topics explored and identifying existing gaps that suggest avenues for potential future research, particularly within the healthcare sector. Two bibliometric reviews were carried out, rigorously following the PRISMA guidelines, with a focus on data extracted from the Scopus and Web of Science (WoS) databases. The first review concentrated on studies related to DEA and Lean Manufacturing, aiming to provide a contextual understanding of the origins and applications of the Lean philosophy in various industries. In contrast, the second review examined the intersection of DEA and Lean Healthcare, aiming to identify existing patterns of application within the healthcare domain. The findings indicate that the integration of DEA with Lean methodologies is limited in the current body of literature, especially when considering applications in healthcare. All relevant articles were identified and their primary contributions were thoroughly outlined. Additionally, it was observed that the literature focusing on DEA and Lean Manufacturing is more developed and comprehensive, with a broader range of studies and sophisticated models designed for specific operational scenarios. On the other hand, research on the combination of DEA and Lean Healthcare remains scarce, with only three relevant papers found, none of which provide an in-depth exploration of the integration between these approaches. In conclusion, there are several notable gaps in the combined application of DEA and Lean, particularly within the healthcare sector. Future studies could address this by developing new models that further explore and enhance the synergy between DEA and Lean Healthcare methodologies. © 2025, Malque Publishing.

 

 

In this study, we fill the gap of limited effort on systematic literature review into the field of digital technology for occupational health of manufacturing industries. Upon reviewing 53 publications selected by combined bibliometric and classical review methods, we present an integrated overview of the major research areas and hot topics and critically identify the prevalent digital technologies and application modes, the enablers and barriers to implementation, as well as the research agenda in the field of digital technologies in occupational health. The results show that, with the increasing popularity and penetration of digital items like wearable devices and sensors, human–robot collaboration, deep learning analytics, the identified enablers to digital technology implementation are: intelligent manufacturing, competitive condition, data-driven decision-making tool, considerations of welfare and health; and the barriers are: technological gap, privacy and data security, culture and acceptance, and cost consideration. Additionally, propositions on three aspects and six perspectives are recommended for future research in this field. Overall, this study provides insights through systematic analysis and synthesis, and offers the means to achieve Sustainable Development Goals (SDGs) by exploring efficient digital technologies to protect labor rights and improve occupational health in the manufacturing industries.

 

 

Integrating photovoltaic (PV) and battery energy storage systems (BESS) in modern power distribution networks presents opportunities and challenges, particularly in maintaining voltage stability and optimizing energy resources. This systematic review and bibliometric analysis investigates the coordination of smart inverter-enabled distributed energy resources (DERs) for enhancing PV-BESS integration and ensuring voltage stability. The study synthesizes recent advancements in smart inverter technologies, which provide grid support functions such as Volt/VAr control, and their applications in DER coordination. A comprehensive review of the literature is conducted to identify prevailing trends, research gaps, and emerging techniques in the field. Bibliometric analysis is employed to quantify the research landscape, highlighting key publications, citations, publications per country, and collaborative networks. The findings reveal that smart inverters play a crucial role in mitigating voltage violations and improving the hosting capacity of PV systems in distribution networks. Furthermore, optimal inverter settings, strategic placement of PV-BESS, and advanced control algorithms are identified as critical factors for effective DER integration. The study concludes by proposing future research directions, including the exploration of smart inverter interactions with legacy grid management systems and the development of robust algorithms for dynamic and adaptive DER coordination. This review serves as a valuable resource for researchers and practitioners aiming to enhance the stability and efficiency of power distribution networks through advanced DER management strategies.

 

 

Shaping safe and hygienic working conditions is the basic obligation of the employer. Employers are still looking for methods, tools, and solutions to improve work safety. The study reviews the literature on solutions aimed at improving occupational safety in construction. For this purpose, bibliometric analysis was used, consisting of the exploration and analysis of scientific studies in the field of occupational health and safety, including the possibility of using the LM tool to improve working conditions on construction sites. The study presents the possibility of implementing Lean Manufacturing (LM) tools in the construction industry. Their strengths and weaknesses were identified, and the benefits and possible barriers related to their effective implementation/use were identified. The result of the analyses was a summary of benefits for the construction industry (strengths and opportunities) as well as areas requiring improvement (weaknesses and hazards) regarding the LM tools used. Based on the conducted analyses, it was found that it is possible to use the tools of the LM concept to improve work safety and organize tasks performed on construction sites. The implementation of LM tools, such as 5S/6S, Poka-Yoke, and Standardization, enables risk reduction through a direct impact on the area being analyzed, in which occupational hazards have been identified. It is also noted that there is a need to simultaneously use LM tools (VM, Gemba-Walk, DHM) as solutions aimed at reducing risk.

 

 

Microalgae are being recognized as the key contributor to sustainability in many sectors, starting from energy up to food industries. The microorganism has also been utilized as environmental remediator, capable of converting organic compounds into economically valuable biomass. To optimize the use of microalgae in these sectors, researchers have explored various approaches, of which is the use of bacteria. The interaction between bacteria and microalgae can potentially be harnessed, but its complexity requires extensive research. Herein, we present the bibliometric analysis on microalgal-bacterial interactions. The metadata of published literature was collected through Scopus database on August 4, 2023. The downloaded.csv file was uploaded to VOSViewer and biblioshiny for network visualization. We found that the research has gained a lot of attention from researchers since 2012 with an exponential increase of the publication number. The United States and China are leading the research with a strong collaboration. Based on the research sub-topic clusters, the interaction is mostly studied for wastewater treatment, biomass production, and algal bloom control. Updated reviews on this topic reveal that researchers are now focus on optimizing the efficacy of microalgae-bacteria system, investigating the modes of actions, and identifying challenges in its real-world implementation. The microalgal-bacterial interaction is a promising approach for microalgae utilization in wastewater treatment, biomass production, and algal bloom control.

 

 

Research on forest carbon storage (FCS) is crucial for the sustainable development of human society given the context of global climate change. Previous FCS studies formed the science base of the FCS field but lacked a macrolevel knowledge summary. This study combined the scientometric mapping tool VOSviewer and multiple statistical models to conduct a comprehensive knowledge graph mining and analysis of global FCS papers (covering 101 countries, 1712 institutions, 5435 authors, and 276 journals) in the Web of Science database as of 2022, focusing on revealing the macro spatiotemporal pattern, multidimensional research status, and topic evolution process of FCS research at the global scale, so as to grasp the status of global FCS research more clearly and comprehensively, thereby facilitating the future decision-making and practice of researchers. The results showed the following: (1) In the past three decades, the number of FCS papers indicated an increasing trend, with a growth rate of 4.66/yr, particularly significant after 2010. These papers were mainly from Europe, the Americas, and Asia, while there was a huge gap between Africa, Oceania, and the above regions. (2) For the research status at the national, institutional, scholar, and journal levels, the USA, with 331 FCS papers and 18,653 total citations, was the most active and influential country in global FCS research; the United States Forest Service topped the influential ranking with 4115 citations; Grant M. Domke and Jerome Chave were the most active and influential FCS researchers globally, respectively. China’s activity (237 papers) and influence (5403 citations) ranked second, and the Chinese Academy of Sciences was the most active research institution in the world. Currently, FCS research is published in a growing number of journals, among which Forest Ecology and Management ranked first in the number of papers (154 papers) and citations (6374 citations). (3) In recent years, the keyword frequency of monitoring methods, driving factors, and reasonable management for FCS has increased rapidly, and many new related keywords have emerged, which means that researchers are not only focusing on the estimation and monitoring of FCS but also increasingly concerned about its driving mechanism and sustainable development.

 

 

In order to visualize the content and development patterns of microplastic biodegradation research, the American Chemical Society (ACS), Elsevier, Springer Link, and American Society for Microbiology (ASM) were searched for the years 2012–2022 using Citespace and VOSvivewer for bibliometrics and visual analysis. The biodegradation processes and mechanisms of microplastics were reviewed on this basis. The results showed a sharp increase in the number of publications between 2012 and 2022, peaking in 2020–2021, with 62 more publications than the previous decade. The University of Chinese Academy of Sciences (UCAS), Northwest A&F University (NWAFU), and Chinese Academy of Agricultural Sciences (CAAS) are the top three research institutions in this field. Researchers are mainly located in China, The United States of America (USA), and India. Furthermore, the research in this field is primarily concerned with the screening of functional microorganisms, the determination of functional enzymes, and the analysis of microplastic biodegradation processes and mechanisms. These studies have revealed that the existing functional microorganisms for microplastic biodegradation are bacteria, predominantly Proteobacteria and Firmicutes; fungi, mainly Ascomycota; and some intestinal microorganisms. The main enzymes secreted in the process are hydrolase, oxidative, and depolymerization enzymes. Microorganisms degrade microplastics through the processes of colonization, biofilm retention, and bioenzymatic degradation. These studies have elucidated the current status of and problems in the microbial degradation of microplastics, and provide a direction for further research on the degradation process and molecular mechanism of functional microorganisms.

 

 

Construction 4.0 is a platform that combines digital and physical technologies to enhance the design and construction of the built environment. Bridge Information Modeling (BrIM), a component of Construction 4.0′s digital technologies, streamlines construction processes and promotes collaboration among project stakeholders. In this study, a comprehensive literature review and bibliometric and content analysis are conducted on building information modeling (BIM), life cycle assessment (LCA), life cycle cost (LCC), BrIM, and Bridge LCA. This study investigates the potential integration of BrIM, LCA, and LCC as inputs for bridges’ LCA to enhance decision making by providing designers with detailed and interactive cost and environmental information throughout an asset’s lifecycle and explores the functionalities of Construction 4.0 and its potential influence on the economy and sustainability of bridge projects. The reviewed literature showed that the tools currently used to apply LCA and LCC methods for infrastructure assets lack the ability to identify possible integration with BrIM and hold limitations in their key functions for identifying the utmost features that need to be adopted in the creation of any tool to increase the general resilience of bridges and infrastructure.

 

 

This study conducted bibliometric and systematic analyses of the literature to map the application of life cycle assessment studies on photovoltaic panels, focusing on end-of-life alternatives. Seventy-six articles addressing management strategies, treatment, recycling, and utilization of the panels were examined. The results revealed a significant increase in the number of publications over time, particularly in high-impact journals. Sixteen end-of-life alternatives for the panels were identified, including recycling practices, material recovery, and landfills. All alternatives were analyzed regarding environmental, social, and economic impacts. Understanding the impacts of different end-of-life methods for solar panels is key in supporting government management and the implementation of effective policies and regulations. Additionally, it is necessary to consider the environmental and social effects, as well as ensure the protection of workers involved in related activities and prevent soil, water, and air contamination caused by different types of alternatives, such as dissolution and incineration. To enhance the recycling and recovery of elements from solar panels, scientific advancements and improvements in industrial infrastructure are necessary along with the implementation of a regional logistics approach that minimizes emissions resulting from transportation. The bibliometric analysis indicates that 65% of the studies were published within the last 3 years, and one quarter of the trending keywords of this period is “recycling”. This is particularly relevant to show a major area for research in the solar industry. By means of the systematic analysis, this study compiles and synthetizes the most recent and relevant alternatives for managing end-of-life photovoltaic panels. The comprehensive overview of the impacts associated with these alternatives contributes to the literature and practice of sustainability in the energy sector, providing support for informed decisions directed towards implementation.

 

 

This research aims to determine the compounds produced from the pyrolyzed Low Linear Density Polyethylene (LLDPE) using Fourier Transform Infrared (FTIR) and Gas Chromatography-Mass Spectroscopy (GC MS). We used pyrolysis of 985 g of 2-mm diameter LLDPE plastic ore at a temperature between 192-194°C for 135 min using a batch reactor (length x width x height = 35 cm x 24 cm x 44 cm) equipped with an outlet connected to two condensers (24°C). To ensure the chemical results, the reactor was connected in series to condensers 1 and 2. The results obtained in condenser 1 were 3 mL of 2-phase liquid with a strong odor. The upper fluid is yellow, and the lower fluid is brown. In condenser 2 (connected directly to condenser 1), 4 mL of yellow single-phase liquid was produced with a strong odor. The liquid obtained from the pyrolysis process was then analyzed by FTIR and GC-MS. FTIR results on both samples showed that the samples contained the functional groups O-H, CH₂, and C=O. The GC-MS results on condenser sample 2 showed that the pyrolysis product contained acetone compounds. This confirmed that pyrolysis caused chemical structural changes in LLDPE due to LLDPE chain bond-breaking reactions, producing many smaller chemical compounds. Additionally, some oxidation happens, which is due to the oxygen content in the reactor. This study provides new insights into the LLDPE pyrolysis mechanism and the physical and chemical properties of the liquid resulting from the pyrolysis process.

 

 

Over the past several years, modularity methodology has drawn a lot of attention in the built environment and become a key area of emphasis for the construction sector. By disassembling a structure into standardised, prefabricated parts or modules that may be produced off-site and then assembled on-site, modularity is a construction technique. In order to identify possible research gaps for future studies, this study attempts to evaluate the research studies carried out on modularity technique in the built environment domain. The study also seeks to extract information from present research domain. The SCOPUS database was thoroughly searched for papers pertaining to modularity technique in the built environment using a scientometric review. Research articles from 2019 to 2024 were included in the study, which provided important insights into the themes and developments in the field of modularity methodology. The results showed that modularity technique is becoming more popular, as seen by the large number of publications in 2019. Interestingly, the study found a research gap and very little cooperation with other new developments in the built environment, like digital twins, novel materials, maximising land use, and circular economies. Cluster analysis revealed that the majority of research in this area focuses on the modularity methodology’s component parts, with little investigation into real-world applications across a range of disciplines. The study’s practical implications highlight the necessity for academics, practitioners, and policymakers in the construction sector to take modularity methodology into consideration as a workable and revolutionary strategy.

 

 

Shore power not only reduces ship emissions and noise in berthing but also has shown practical implications for maritime competitiveness. However, the existing literature and industry reports reveal that a limited number of ships have access to shore power. This highlights the need for research into the constraints faced by the sector and the development of solutions to enhance its adoption. Addressing these issues will enable the port and shipping industries to enjoy the associated benefits. Currently, existing research on shore power remains dispersed, yet it fully addresses such questions and lacks an integrated framework, making it challenging to extract pivotal insights. This paper aims to conduct a state-of-the-art review of shore power by the Web of Science Core Collection and Scopus databases as a pivotal solution to shipping emissions reduction in ports and advancing the maritime sector towards carbon neutrality. This analysis is grounded in a bibliometric analysis of existing literature on this topic, with a focus on the need to devise robust strategies to fully harness the potential of shore power for carbon neutrality. The valuable findings are revealed, including (i) The adoption of shore power by ports is predominantly propelled by regulatory mandates and incentives, inclusive of government subsidies in leading regions such as China, the U.S., and Europe; (ii) Due to the implementation of Emission Control Areas and carbon neutrality regulations, an increasing number of port operators in Europe are turning to shore power to fulfil both the governmental or industrial requirements, especially regarding cruise ships; (iii) The literature on shore power primarily delves into four main research areas: the inherent features of shore power, emission inventory assessments, practical applications of shore power, and energy management strategies; and (iv) Emerging directions in shore power research include cooperative optimisation among stakeholders, integration of new technologies into shore power, a holistic evaluation of the multifaceted advantages of diverse emission reduction strategies, and critical examinations of any unintended consequences stemming from shore power adoption. They offer invaluable insights on enhancing the adaptation and effectiveness of shore power.

 

 

The United Nation’s Sustainable Development Goals (SDGs) prioritize halving global per capita food waste at retail, consumer, production, and food supply chain by 2030. This aligns with promoting circular economy principles for enhanced sustainability. The circular economy offers a transformative approach to the food industry by promoting environmental health, human well-being, and economic prosperity. This bibliometric analysis examines how circular economy principles can drive sustainability in food businesses, which closely aligning with SDGs 12.3 (food waste reduction), 12.5 (waste reduction), 13.2 (climate policy integration), and 13.3 (climate adaptation). Through a bibliometric analysis of 1000 relevant articles sourced from the Web of Science (spanning from 2005 to 2023), we evaluated the progress, challenges, and opportunities in this field. Utilizing analytical tools such as Biblioshiny (Bibliometrix) package of R-Studio and VOSviewer, the researchers identify key trends and research hotspots through thematic maps, co-occurrence networks, co-citation analysis, keyword analysis, and collaboration networks. This research highlights that the circular economy can transform the food industry by implementing sustainable waste management practices, optimizing supply chains and resource utilization to minimize environmental impact. Furthermore, research findings indicate that adopting circular economy principles in the food industry can significantly reduce waste and enhance resource efficiency by transforming food waste into valuable products such as biogas and bio-based materials. This study provides valuable insights for researchers, practitioners, policymakers, and government officials to improve sustainable food production systems. It enhances understanding in a vital area for guiding future endeavours to promote circular economy strategies for a more sustainable and efficient food industry.

 

 

With the rise of research on the integration of emergence theory and complex systems, value emergence has become a new model of value creation in green innovation ecosystems. Exploring the research status of green innovation ecosystems from the perspective of value emergence has become a research hotspot in the field of management science. Therefore, the purpose of this paper is to use bibliometric methods, explore the current research status of green innovation ecosystems from the perspective of value emergence, and, more importantly, provide a future direction for the integration of emergence theory into complex systems. In this paper, a search was conducted in the Web of Science and CNKI databases, with a time limit from 2009 to May 2023, and through further screening, 159 articles were collected, and CiteSpace software (CiteSpace.6.3.R1) was used for visualizing and exploring bibliometric networks. This study innovatively introduce the value emergence perspective in the context of green innovation ecosystems. The basic interaction, dynamic promotion, and feedback loop of value emergence are taken as the research framework, and the generation mechanism and dynamic evolution of the green innovation ecosystem are analyzed. Finally, three prospects for future research are presented: How do green innovation entities generate basic resources? How do digital transformation and dynamic capabilities promote emerging value? How do internal models and external identifiers promote feedback loops? This paper is highly important for promoting theoretical exploration in the field of green innovation research.

 

 

Delays in construction are a widespread global problem, leading to potential cost overruns and legal disputes. Additionally, delays can result in a decline in construction quality and loss of public trust. The aim of this study is to examine the effects of project delays in various regions and the preventive role of optimizing concrete works. Literature review and bibliometric analysis are carried out to determine global research trends. Findings show that optimizing concrete works can provide benefits such as cost savings, time savings, improved quality and safety, and environmental benefits. Optimization of concrete material composition is one of the most examined topics in this field. Based on the findings, construction firms have the potential to attain cost efficiencies while concurrently mitigating carbon emissions.

 

 

The research landscape of personalized 3D-printed concrete-based modules for construction and their impact on thermal performance through generative design methods is explored through a bibliometric analysis. Comprehensive analysis techniques, including bibliographic data and visualization with VoSviewer, are employed to unveil collaborative networks, influential articles, research trends, and emerging themes within this domain. Global contributions are showcased, with citations predominantly from the UK and USA, while Denmark and Australia demonstrate a significant impact relative to publication numbers. Prominent authors like Buswell, Mechtcherine, and Zhang are highlighted through co-authorship analysis, revealing evolving collaborative patterns over time. Seminal works and influential authors are identified through co-citation analysis, providing insights into intellectual networks. Source citation analysis emphasizes the importance of sustainability and advanced manufacturing methods through key journals in the field. Keyword co-occurrence analysis identifies the core themes, including 3D concrete printing, additive manufacturing, and sustainability. Emerging trends indicate a growing focus on sustainability and adopting advanced manufacturing technologies. These insights have implications for future research, guiding impactful contributions in this evolving field.

 

 

During the COVID-19 pandemic, the healthcare system and the global supply chain were exposed to an unpredicted event, which increased awareness about the need of more effective strategies to support decision-making process and to empower safety barriers. In this work, a combined scientometric and systematic review was performed to analyze tools and methodologies able to combine resilience with more traditional risk assessment, learning from the experience posed by the COVID-19 crisis. Bibliometric and literature content analyses were carried out focusing on resilience management upon the incoming of an unexpected event. The systematic analysis of the methods and models developed on the basis of different pandemic waves provides a natural guide for future research development.

 

 

Objectives To examine the 16-year developmental history, research hotspots, and emerging trends of zinc-based biodegradable metallic materials from the perspective of structural and temporal dynamics. Methods The literature on zinc-based biodegradable metallic materials in WoSCC was searched. Historical characteristics, the evolution of active topics and development trends in the field of zinc-based biodegradable metallic materials were analyzed using the bibliometric tools CiteSpace and HistCite. Results Over the past 16 years, the field of zinc-based biodegradable metal materials has remained in a hotspot stage, with extensive scientific collaboration. In addition, there are 45 subject categories and 51 keywords in different research periods, and 80 papers experience citation bursts. Keyword clustering anchored 3 emerging research subfields, namely, #1 plastic deformation #4 additive manufacturing #5 surface modification. The keyword alluvial map shows that the longest-lasting research concepts in the field are mechanical property, microstructure, corrosion behavior, etc., and emerging keywords are additive manufacturing, surface modification, dynamic recrystallization, etc. The most recent research on reference clustering has six subfields. Namely, #0 microstructure, #2 sem, #3 additive manufacturing, #4 laser powder bed fusion, #5 implant, and #7 Zn–1Mg. Conclusion The results of the bibliometric study provide the current status and trends of research on zinc-based biodegradable metallic materials, which can help researchers identify hot spots and explore new research directions in the field.

 

 

The interest in the concept of resilience has been growing consistently over the past few years to study the functionality and behavior of systems against natural and man-made hazards. Yet a comprehensive, updated review of methods and frameworks to assess and improve the resilience and safety of civil engineering systems and communities is lacking. In this paper, a bibliometric and visualization method is implemented to explore the status of resilience research in civil engineering applications by analyzing journal papers published from 1996 to 2020. The concept of resilience and safety is investigated through eight subject categories identified by the authors in the literature: recovery time strategies and downtime, critical infrastructures, probabilistic approaches, fuzzy logic approaches, structural health monitoring, health care facilities, emergency management and decision-making, community and urban resilience. Results show that resilience research has increased rapidly since its introduction, most notably in the past seven years. The analysis identifies two main research approaches: frameworks and conceptual models, and case study based. The latter is the most adopted methodology by the analyzed works. In terms of geographical distribution, most of them have been carried out in the USA, the United Kingdom, China, and Italy. The authors’ keywords analysis reveals that recovery strategies, critical infrastructures, vulnerability, and community resilience and safety have attracted prominent attention in the past decade. Finally, we conclude that further multidisciplinary research is needed to model multi-hazard scenarios and cascading effects, to collect data, and to define new performance metrics.

 

 

Lean philosophy has shown successful results in the manufacturing industry since the eighties regarding efficiency, reducing cost and errors. However, the philosophy originated in the private sector, where the work rules are defined by business owners within the framework of some regulation. In the public sector, however, the picture is different. The way of working and carrying out operations and projects is directly defined by regulation, where the owner’s role-as in the private world-is embodied by the entire political system. This article aims to take a comprehensive look at the academic literature on how Lean has been applied in the public sector (LIPS) from a bibliometric perspective and then delve deeper into the concept of lean construction in the public sector (LCPS) through a systematic review. The results give a complete picture of the research in LIPS, revealing that research directions focus on implementing Lean, how it works in the public sector and the human factors involved in its practice and digitalization. Moreover, the advantages and challenges of LCPS have been presented, where again, the human factor is the central concern of researchers.

 

 

The study and analysis of quality in its various dimensions has become a highly relevant field of research, with an interdisciplinary approach that involves disciplines such as industrial engineering, operations management and organizational psychology. Therefore, this article aims to analyze the general trend of studies related to quality culture around the world, using the methodology of bibliometric analysis. The Bibliometrix library and RStudio were used to analyze data obtained from the Scopus database from 1982 to February 2023. A total of 556 publications were found using the search equation TITLE-ABS-KEY (“Quality culture”) AND (LIMIT -TO (DOCTYPE, “ar”)). The average number of publications in the last 5 years is close to 40 scientific productions on the topic of study. The main countries, authors, institutions, journals, thematic areas and keywords of these studies were identified. The main themes of analysis included its relationship with total quality management, quality 4.0, quality and organizational performance. In conclusion, this review provides an overview of the scientific production on the object of study and also identifies factors associated with quality culture and its contribution to the development of organizations.

 

 

This paper provides an overview of the evolution and state-of-the-art of the Operations Research and Management Science (OR/MS) subject area from 1956 to 2019. Using text mining techniques on the content of the title, abstract, and author keywords of papers classified by the Web of Science as literature review studies in OR/MS, we found that there are 76 topical consolidated clusters in the field covering a wide range of reviewed topics. Since 2015, reviews on supply chain risk management and big data analytics have had the highest impact in the field, whereas topics such as Industry 4.0, socio-technical systems, social networks, green supply, sustainable supply chain, and resilience engineering have all received significant attention from researchers. Reviews on analytic hierarchy process were found to be the most impactful overall, showing the high relevance of multi-criteria decision making in the current research and practice contexts. Furthermore, a text mining analysis of the papers citing OR/MS literature reviews showed that optimization continues to be one of the most highly influential methodological contributions of OR/MS to other research areas and that topics such as circular economy, carbon emissions, and social commerce have yet to find some traction in OR/MS research, suggesting future research and multidisciplinary opportunities for the field. Results also show that the research area of Public Administration has been greatly influenced by OR/MS reviews as 16% of all the papers published in that field have cited at least one of the 1744 review papers included in this study. Finally, a summary table of published structured literature reviews per topic (benchmarks, classifications, taxonomies) is presented as a short bibliography of OR/MS review papers.

 

 

This paper presents a bibliometric analysis of inventory models in a sustainable supply chain. The methodology contains reviewing previous research with a performance evaluation, network analysis, and science mapping to identify the applications, trends, and future research topics. Scientific mapping examines the periods and volumes of publications, authors, journals, countries, regions, organizations, subject areas, and citation analyses. The dataset was obtained with the Scopus database and analyzed using MS Excel and VOSviewer. The search equation identified 335 research papers, which resulted in 131 significant manuscripts on the subject after being screened and filtered. The most notable countries in developing research were Iran, India, China, the United States, Canada, Taiwan, France, the United Arab Emirates, Turkey, and Denmark. Saha, S., Ajay, S.Y., and Baboli, A. were the most cited authors. The journals that publish the most research were Sustainability, the Journal of Cleaner Production, and the International Journal of Production Economics. Some research focuses on reducing carbon emissions and polluting agents applied in different industries in China, Brazil, India, and others. The main findings were the number of industry sectors researching this topic, increasing the number of publications, and promoting the proper use of resources within a sustainable supply chain. There are many investigations of theoretical models that have applications in real-life cases. There is also evidence of the high importance of promoting sustainable development. The emissions regulations in a green supply chain applied to agricultural products have allowed for more actions to achieve responsible production and consumption, as seen in applied research in the pulp and paper industry.

 

 

The detection of analytes in complex organic matrices requires a series of analytical steps to obtain a reliable analysis. Sample preparation can be the most time-consuming, prolonged, and error-prone step, reducing the reliability of the investigation. This review aims to discuss the advantages and limitations of extracting bioactive compounds, sample preparation techniques, automation, and coupling with on-line detection. This review also evaluates all publications on this topic through a longitudinal bibliometric analysis, applying statistical and mathematical methods to analyze the trends, perspectives, and hot topics of this research area. Furthermore, state-of-the-art green extraction techniques for complex samples from vegetable matrices coupled with analysis systems are presented. Among the extraction techniques for liquid samples, solid-phase extraction was the most common for combined systems in the scientific literature. In contrast, for on-line extraction systems applied for solid samples, supercritical fluid extraction, ultrasound-assisted extraction, microwave-assisted extraction, and pressurized liquid extraction were the most frequent green extraction techniques.

 

 

Climate deterioration and environmental pollution has been widely studied by a wide scientific community. The effects of the ecosystem deterioration impacts directly to human activities. In this scenario, the building industry has increased the pressure on proposing new materials to replace the cementicious component and natural resources (water, sand, gravel, and limestone) on mortar and concrete to reverse this trend. To this end, organic residues can offer opportunities as an available alternative for construction applications. Therefore, this paper aims to broaden the scope of research in this field by investigating the potential use of organic residues as cementicious building material based on bibliometric-statistical analysis using scientific information. A preliminary bibliometric analysis using VOSviewer was carried out to define the keywords co-ocurrence from Scopus database. Type of organic material, constructive use, and its properties (physicochemical, mechanical, and thermal) were extracted from scientific publications. Then, a systematic analysis criteria was defined to limit the scope of the study. Finally, statistical variance analysis and multiple correlation for identifying constructive application were applied. From the co-ocurrence analysis of keywords, we determined that 54% of the selected scientific publications were closely related to the scope of this study. State-of-the-art study established that related researches grew exponentially at a rate of about 30%/year. Moreover, scientific publications reported the use of a wide variety of organic residues, such as wheat, paper, hemp, rice, wood, molluscs, olive, coconut, among others. Mainly, agricultural residues (82%) with building applications related to structural concrete, mortar, bricks, and blocks, had been evaluated. Physicochemical properties from organic residues (extractives content, lignin content, and density) were correlated to mechanical (compressive, flexural and tensile strength) and thermal properties (thermal conductivity). The identification of the physicochemical properties of the organic residues allow us to predict the mechanical and thermal behavior of the material with residues. In summary, agricultural residues are the most promising organic building material due to their abundance and lignin content, exhibiting better mechanic and thermal properties than any other organic residues.

 

 

Metallic glasses (MGs) have been long investigated in material science to understand the origin of their remarkable properties. With the help of computational simulations, researchers have delved into structure-property relationships, leading to a large number of reports. To quantify the available literature, we employed systematic review and bibliometric analysis on studies related to MGs and classical molecular dynamics simulations from 2000 to 2021. It was found that the total number of articles has increased remarkably, with China and the USA producing more than half of the reports. However, high-impact articles were mainly conducted in the latter. Collaboration networks revealed that top contributor authors are strongly connected with other researchers, which emphasizes the relevance of scientific cooperation. In regard to the evolution of research topics, according to article keywords, plastic behavior has been a recurrent subject since the early 2000s. Nevertheless, the traditional approach of studying monolithic MGs at the short-range order evolved to complex composites with characterizations at the medium-range order, including topics such as nanoglasses, amorphous/crystalline nanolaminates, rejuvenation, among others. As a whole, these findings provide researchers with an overview of past and current trends of research areas, as well as some of the leading authors, productivity statistics, and collaboration networks.

 

 

The need for ultraprecision finishing has grown, and magnetic field-assisted finishing has shown potential for overcoming some challenges. This study evaluates the scientific production and identifies future directions of magnetic field-assisted finishing based on a bibliometric analysis. Using Bibliometrix, network mapping and descriptive analysis were performed on 1558 documents related to magnetic field-assisted finishing-related research published over the past 51 years. The results of the comprehensive literature reviewed showed that the theme exhibits a rising trend of 56% in the last 10 years, being mainly conducted by Chinese, Indian, and American researchers. Different geometries and materials can be finished and which had surface roughness ranges from sub-nanometer- to micrometer-scale. Surface finishing of freeform dies and molds, optical components, and medical devices have been standing out as current process applications in tooling, aerospace, and biomedical industries. AISI 304 stainless steel was the most tested metal. Finally, potential areas of research were identified in the coming years, which could lead to new fields of application for magnetic field-assisted finishing in industry.

 

 

Polyisobutylenes (PIB) constitute a versatile family of polymer materials that have been used mainly as fuel and lubricant additives. Particularly, the current commercial demand for highly reactive polyisobutylene (HR-PIB) products motivates the development of new processes and procedures to produce PIBs with high polymer yields, narrow molar mass distributions and high vinyl contents. For this reason, a bibliometric survey is presented here to map and discuss important technical aspects and technological trends in the field of solution cationic polymerization of isobutylenes. It is shown that investigations in this field are concentrated mainly on developed countries and that industrial initiatives indicate high commercial interest and significant investments in the field. It is also shown that use of catalyst systems based on AlCl3 and ether cocatalysts can be very beneficial for PIB and HR-PIB manufacture. Finally, it is shown that investigations search for cheaper and environmentally friendly catalysts and solvents that can be employed at moderate temperatures, particularly for the production of HR-PIB.

 

 

A statistical bibliometric study of the trends of the topics related to the design, diagnosis of buildings and construction developed over the last 19 years is carried out through the analysis of five cases of international journals specific to the area of high impact research. in architecture and construction. The total volume of papers involved in the topics of analysis reaches 24,230 units. With these historical data it is expected to determine current issues, of sustained relevance and to detect emerging topics of great transforming potential in the discipline. Development trends are observed in the emerging topics of interest and percentage growth among all the topics considered. The variation in the level of participation of some topics in architecture and construction over time is defined in the cases analyzed. The results indicate the stable topics and those emerging whose development and antiquity announces a forthcoming trend that will transform again the way of designing, communicating and constructing the architectural object.

 

 

A retrospective bibliometric analysis of the railway sector covering the 20-year period between 2002 and 2021 was carried out to better understand the characteristics of the railway research. The Scopus database contained 1918 articles published with the keywords “Rail System”. VOSviewer software was used to create network maps from each of the variables studied. The results showed a huge increase in the number of publications over this period-notably, work written by Zhang, Y.T., who was found to be the most productive author. Engineering was found to be the most studied subject area of knowledge; Transportation Research Record was the journal with the highest number of publications; and China was revealed to be the leading country regarding this research field, Southwest Jiaotong University being the leading institution in this topic. Finally, there was a lack of research on the environmental impact and sustainability of railway systems, an area that could be opened up for future study.

 

 

This paper presents a bibliometric study, which seeks to characterize papers that address competence-based management and that are indexed in the Web of Science and Scopus databases in terms of scientific production, collaboration, and impact. All the papers published in journals or in conference proceedings that contained the terms “competenc* management” or “compentenc* based management” in their titles, abstracts, or keywords were analyzed. The results show that computational sciences, human resources management, strategic management, and industrial relations and labor correspond to the macro-categories that characterize competence-based management. This paper also indicates that collaborations between authors do not establish strong co-authorship networks. It also shows that the most cited papers were published in journals of different areas. It concludes that studies conducted in the area of competence-based management can be developed in a more assertive way if they take into consideration the context of the current state of research in this area.

 

 

This paper characterizes the state of the art in the area of reverse logistics by analyzing publications in the ScienceDirect and Web of Science (WOS) databases through bibliometric and systematic analysis. From a sample of 462 papers, leading journals, authors, research institutions and countries, as well as research partnerships were identified. It was noted that publications on the subject have steadily increased over the years, with the United States having the largest number of publications and partnerships. Brazilian researchers should seek partnerships with foreign institutions, since they have demonstrated the potential to enrich discussions and foster quality publications. This paper identified the main studies in this area, as well as the gaps that could guide future researches.

 

 

This paper presents a bibliometric and systemic analysis of product development, digital manufacturing, and product manufacturing information. The ProKnow-C (Knowledge Development Process – Constructivist) method was used to achieve the aim of this study, for it allows researchers to acquire knowledge and detect relevant studies that can support the theoretical foundation of scientific research. After selection, a collection of relevant papers was subjected to quantitative analysis for identifying the most important authors, journals, and keywords. Thereafter, a systemic analysis was accomplished in order to verify the content of articles in a bibliographic portfolio and identify opportunities, trends, and research gaps. Finally, the main research opportunities in the proposed area of interest of were recognized and hereby presented.

 

 

There is no comprehensive understanding of the problems that may impact the performance of the different actors that participate in the design of construction projects. In the absence of clarity about the problems and challenges that may impact the interactions, it is not possible to propose action plans to optimize the performance of the design teams. Therefore, this study proposes to identify the main problems and challenges in the interactions of design teams in building projects. A mixed review method is used to integrate bibliometric reviews, systematic reviews, and social network analysis to build a complete picture of the reviewed topic while highlighting certain key areas to ensure in-depth research. To achieve the objective of this work, the research was divided into three stages: (1) study of interactions in design teams; (2) identification of problems in design team interactions; and (3) study of problems in design team interactions. Through this study, four current major trends of research were identified: (1) Collaboration and BIM; (2) Design teams in the construction industry; (3) Design management; and (4) Collaborative design methodologies and processes. In addition, the most relevant problems or challenges within design team interactions arise in communication, collaboration, coordination, trust, and role identification.

 

 

Introduction: The production of knowledge in science is materialized in the collaborative interaction between researchers who investigate common themes, forming knowledge ecosystems through their productions, in this sense, the article aims to map the main actors (researchers, universities and funding agencies) that constitute the ecosystem and the knowledge that permeates it, especially those centered on industry 4.0 in the Brazilian context. Method: It is a quantitative, descriptive research, using bibliometric techniques through an analysis of published works on Industry 4.0 in theWeb of Science database in the last five years, refining the search by country and selecting Brazil. In all, 369 documents produced in the country were analyzed using the metric software VOSviewer to build collaboration networks. Results: The authors Eduardo de Freitas Rocha Loures and Fernando Deschamps stand out as the main producers of knowledge in the ecosystem, as well as CAPES and CNPQ as guiding actors in the financing of research on Industry 4.0, which were developed in the University space. of Sao Paulo and the Federal University of Santa Catarina. Conclusion: The knowledge ecosystems in Industry 4.0 are formed by universities and public development agencies, which use resources to develop in the country artificial intelligence technologies, internet of things, cyberphysical systems, among other guiding knowledge.

 

 

Digital transformation (DT) arises in debates about trends in various industries, mainly in value creation through the innovation of products and services and how they are negotiated. DT poses new challenges to organizations, which this research aims to identify by answering: What is the structure of the literature on DT, and what themes have gained prominence in the last five years? This research conducted a systematic literature review with bibliometric analysis and content analysis. The bibliometric analysis highlighted the following discussions: strategic renewal amid DT; implementation of technologies in Industry 4.0; digitization to enable servitization; DT as an engine of innovation in business models; digital innovation management; and DT to change the consumer experience. The analyses point out avenues for further research and raise important questions for decision-makers in companies that want to reap the benefits of DT.

 

 

Global polystyrene (PS) production has been influenced by the lightness and heat resistance this material offers in different applications, such as construction and packaging. However, population growth and the lack of PS recycling lead to a large waste generation, affecting the environment. Pyrolysis has been recognized as an effective recycling method, converting PS waste into valuable products in the chemical industry. The present work addresses a systematic, bibliometric, and statistical analysis of results carried out from 2015 to 2022, making an extensive critique of the most influential operation parameters in the thermo-catalytic pyrolysis of PS and its waste. The systematic study showed that the conversion of PS into a liquid with high aromatic content (84.75% of styrene) can be achieved by pyrolysis. Discussion of PS as fuel is described compared to commercial fuels. In addition, PS favors the production of liquid fuel when subjected to co-pyrolysis with biomass, improving its properties such as viscosity and energy content. A statistical analysis of the data compilation was also discussed, evaluating the influence of temperature, reactor design, and catalysts on product yield.

 

 

The general objective of this work is to evaluate characteristics of international scientific production in technologies associated with Industry 4.0. The methodology employed consists of two stages: (i) selection of technologies (terms) pointed out in the specific literature; (ii) the bibliometric analysis of scientific publications that contain the characteristic terms of Industry 4.0 existing in the Scopus database. The hypothesis adopted was that, as it is still an ongoing process, Industry 4.0 and its concepts are still under construction. Some of the conclusions of the work are: the countries that stand out the most are those that implemented national strategies related to the technologies of Industry 4.0, obtained, in the subsequent years, a wide growth in the number of publications; and, among the financing institutions, the governmental ones stand out in the sponsorship of scientific publications, especially the Chinese ones, proving the public effort.

 

 

The growth trend of publications in the field of Proton Exchange Membrane Fuel Cell (PEMFC) was analyzed using bibliometric techniques to the identification of the areas with significant development and the orientations that have guided the research on energy cells. This study extracted the data from Scopus and Web of Science (WoS) databases to compare the bibliometric indicators of the published productions. In spite of bibliometric analysis advantages to knowing about the trends in a study area, this research requires methods to support the investigation process through the selection of a relevant bibliographic portfolio. This study applied the Methodi Ordinatio that provides a new approach to achieve it. A proposed list of the articles ranked by InOrdinatio is presented to compose the final portfolio. The obtained results in the research sub-theme of the Mass Transport in Gas Diffusion Layer (GDL) confirm the complexity in the study area by presenting erratic patterns of exponential growth. United States, China, and Japan are the leading countries on PEMFC publications. These countries have in common a strong spending by the business sector for R&D, and their gross domestic product is greater than 2%.

 

 

Natural Rubber Field Latex (NRFL) allergens restrict its use in some markets due to health-threatening allergic reactions. These molecules are proteins that are related to asymptomatic sensitization and hypersensitivity mediated by immunoglobulin E (IgE). Although NRFL allergens have been investigated since the 1980s, there are still gaps in knowledge regarding the development of deproteinized natural rubber (DPNR). Therefore, in this study, the deproteinization of NRFL from the lower basin of the Cauca River, Antioquia-Colombia was evaluated using eight systems. The highest removal value was 84.4% and was obtained from the treatment containing SDS (Sodium dodecyl sulfate), Urea, and Ethanol. It was also possible to determine that at high concentrations of SDS, removal percentages higher than 70% are reached. On the other hand, all deproteinizing systems decreased NRFL Zeta potentials without self-coagulation, suggesting enhanced colloidal stability in DPNR latex. On the other hand, the bibliometric analysis presented technological advances in DPRN through different parameters and bibliometric networks. The analysis presented makes an important contribution from the bibliometric approach that could be positive for the development of research.

 

 

This study aims to analyse the scientific literature on sustainability and innovation in the automotive sector in the last 13 years. The research is classified as descriptive and exploratory. The process presented 31 articles in line with the research topic in the Scopus database. The bibliometric analysis identified the most relevant articles, authors, keywords, countries, research centers and journals for the subject from 2004 to 2016 in the Industrial Engineering domain. We concluded, through the systemic analysis, that the automotive sector is well structured on the issue of sustainability and process innovation. Innovations in the sector are of the incremental process type, due to the lower risk, lower costs and less complexity. However, the literature also points out that radical innovations are needed in order to fit the prevailing environmental standards. The selected studies show that environmental practices employed in the automotive sector are: the minimization of greenhouse gas emissions, life-cycle assessment, cleaner production, reverse logistics and eco-innovation. Thus, it displays the need for empirical studies in automotive companies on the environmental practices employed and how these practices impact innovation.

 

 

The diagnosis of failures in Internal Combustion Engines (ICM)-generation engines, has been considering one of the principal thematic axes of academic and industrial Research, Development and Innovation (R & D & I) based on the analysis of the specialized engineering literature within the Distributed Generation (DG) paradigm. With the aim of presenting the characteristics of the work related to failures in ICM and recognizing the global research focuses, a scientometric methodological approach of a systematic review of the publications indexed in Web of Science (WoS) has been carrying out from the perspective of bibliometric analysis for the period from 2007 to 2017. The H-index has been incorporating into this analysis to assess the visibility and impact of journals, authors, countries, and institutions with the highest levels of production and recognition in the field under study. The systematic review also made it possible to analyze the interaction between knowledge groups and networks with the authors and institutions identified in the ranking. The results show a significant increase in the number of publications, especially between 2012 and 2016, which allow the main dimensions of R & D & I related to the study of failures in ICM to be characterized and illustrated at a holistic level and provide added value to researchers interested in establishing cooperation and publication processes with journals, authors, institutions and potential actors in the study of ICM failures.

 

 

Industrial symbiosis, a concept derived from industrial ecology, emphasizes the collaborative and synergic production among industries. The particular focus is on cyclical flows of resources (material, energy, water, and/or by-products), in order to minimize impacts on the environment. In this way, an industry could reuse the discarded resources of another industry as an input to production. Essentially, the characteristics of the interaction between components of the system define industrial symbiosis as complex and dynamic. Uncertainty, unpredictability, emergency, and adaptability are determining features of this interaction. The development of such an innovative system requires great effort. An important step is to create a representative model of this new reality to support system change. Hence, the present article develops an evaluation of the industrial symbiosis systems modeling. For this purpose, the research adopted a bibliometric and systemic analysis. The results presented in this paper are: (i) an analysis of scientific knowledge about the theme, (ii) the main points discussed and opportunities extracted in the literature, and (iii) the paradigms of industrial symbiosis modeling and simulating. In addition, this work will cooperate as a research base for the development of a new model, which intends to support decision-making processes, during the creation of symbiosis links.

 

 

Saccharomyces cerevisiae yeasts are widely known and used in biotechnological processes, as they have an excellent metabolic capacity that results in the formation of natural products with high added value. Thus, this study aims to present a view on the production of metabolites by Saccharomyces cerevisiae and their application in biotechnological processes. For this, a bibliometric analysis was carried out on the scientific production regarding the use of yeasts in biotechnological tests for the production of substances by activating their metabolic pathways. The articles found in the range between the years 2014 to 2019 are mostly research articles 57% and the rest 43% review. The analysis of the production of articles per year showed an oscillation for both research and review articles, and the countries with the highest publication rate are the United States and China. The data demonstrate a growing interest in secondary metabolic pathways of S. cerevisiae. These microorganisms can be used for the production of different metabolites that are of industrial interest, as they have a purity content that results in high commercial value.

 

 

Industrial parks have been used to promote the economic development of countries. However, its rapid growth has generated environmental problems related to the depletion of natural resources and pollution. Consequently, the network analysis and the bibliometric analysis applied in this research generated qualitative and quantitative information from a systemic perspective on the thematic and community evolution of research on industrial parks (IP) performed to improve its negative environmental impact and reach sustainability. This study used the Web of Science (WoS) database from 1996 – 2019. The main trends and critical research points were identified in four periods of 6-year each. Social network analysis (SNA) was used to identify the intellectual structure main and the academic collaboration networks established among countries/territories, institutions, and authors. The most productive country in articles is currently China (882), however, when we consider the frequency of articles per million inhabitants, it ranks seventh. The WoS database grouped 63.6 ​% of the articles published in the subjects of “Environmental Sciences & Ecology”, “Engineering”, and “Science & Technology – Other Topics”. Industrial Ecology (IE), Industrial Symbiosis (IS), and Circular Economy (CE) were the author keywords with the highest frequency, indicating that IP research has focused from these perspectives to promote the exchange of byproducts and to evaluate the performance and environmental impact of industrial areas through the use of methodologies such as carbon footprints, emergy analysis, and life cycle analysis (LCA). Finally, some themes were identified and proposed for future research based on analyzing research trends and hot spots from the literature review on industrial parks.

 

 

El suero de queso es un residuo producido en la industria láctea que genera problemas si se vierte directamente al alcantarillado debido a su alta carga orgánica. Una alternativa para el manejo del suero de queso es la digestión anaeróbica, un proceso biológico que transforma la materia orgánica en biogás y digestato, dos productos con un importante potencial energético y agrícola. Este trabajo tuvo como objetivo contribuir a la construcción del conocimiento sobre la degradación anaeróbica del suero de queso, desarrollar un análisis bibliométrico y rastrear las tendencias en investigaciones relacionadas desde 2010 hasta el presente, utilizando PRISMA ® para desarrollar una revisión sistemática basada en Scopus ® y usando Excel ® y software bibliométrico (VosViewer ® y RefViz ®) para la identificación de la información. Nuestros resultados muestran que la investigación en torno al suero de queso es relativamente reciente y que el mayor porcentaje de publicaciones es a partir de 2018. Se identificaron doce variables del proceso de degradación anaeróbica del suero de queso y se agruparon en cinco factores: sustrato, configuración del reactor, análisis de digestato, análisis microbiológico e inóculo. Asimismo, se identificó que la mayoría de los procesos anaeróbicos permiten implementar la economía circular en el sector lácteo. En conclusión, la aplicación de la digestión anaeróbica en el sector lácteo puede ayudar a cerrar los ciclos productivos, producir biocombustibles y reducir la contaminación.

 

 

The rising demand to settle a sustainable energy source is guiding researchers in the production of biofuels. The liquefaction process is an alternative to obtaining biocrude from different types of renewable biomass and can mitigate environmental impacts. All papers published since 2000, which are related to the hydrothermal liquefaction process that aims to obtain biocrude are analyzed in the present study using the bibliometric approach to provide the selected database. Furthermore, the use of algae biomass in the liquefaction was also a discussed topic considering its high relevance in the process. The focus of the present study was to evaluate the evolution of the current state of the art in these topics and also to indicate trends and courses that it might be taken in the future. The database used in the bibliometric analysis was taken from the Web of Science (WoS) and the papers were selected by two different search equations. With the selected data, the use of BibExcel, VOSviewer, and PowerBi software was useful to guide the discussion and to create graphics and visual networks. As shown in the results, it was noticeable the influence of China and the USA on the field, considering the high number of publications from these countries. Moreover, the main authors were indicated considering their citation numbers, publications, and local h-index factor. Based on the author’s keywords, the most significant and recent topics on liquefaction were listed. Among them, technical-economic analysis, nutrient, and energy recovery, response surface methodology, and kinetic model are highlighted. This may indicate a new direction being taken by researchers besides the operational parameters’ studies. Graphical Abstract: [Figure not available: see fulltext.].

 

 

Microgrids integrate various renewable resources, such as photovoltaic and wind energy, and battery energy storage systems. The latter is an important component of a modern energy system, as it allows the seamless integration of renewable energy sources in the grid. The research here presented aimed to develop an integrated review using a systematic and bibliometric approach to evaluate the performance and challenges in applying battery energy storage systems in microgrids. Search protocols based on a literature review were used; this included thematic visualization and performance analysis using the scientific mapping software SciMAT (Science Mapping Analysis Software Tool). The results show that optimization methods in battery energy storage systems are important for this research field. In research works, they are interested in applying methods to reduce costs; this includes considering the state of charge, the degradation rate, and battery life. Developing an optimal battery energy storage system must consider various factors including reliability, battery technology, power quality, frequency variations, and environmental conditions. Economic factors are the most common challenges for developing a battery energy storage system, as researchers have focused on cost–benefit analysis.

 

 

Food science innovation depends on consumers’ needs and is currently seeking functional food with health effects. Non-centrifugal cane sugar (NCS) is known for its potential health effects, but there is a lack of holistic analysis on technological advancement and socio-economic and market trends for decision-making in the development of the technology. The aim of this article was to analyse the research trends, recent patents, and market trends and niches for NCS to structure an NCS technological roadmap. Scientometric, bibliometric methods, and global and local market information on NCS were used. Comprehensive analysis of the worldwide research trends and patents on NCS processing and of the growth of the main niche markets for Colombian NCS exports in the last five years was conducted. Finally, with the information obtained, an NCS technological roadmap was structured, which can be used as a tool for planning innovation processes and supporting the development of new research using market information and new norms forged by the COVID-19 pandemic for Colombian case. Furthermore, the methodological design could be used for other NCS producer countries.

 

 

Biofloc technology is a bioremediation process that allows minimizing the exchange of water and its use in aquaculture systems. Objective: to present trends in scientific publications about Biofloc technology for fish production, using bibliometric analysis tools. Materials and methods: the Web of Science database was used, with a search equation and information processing supported by the BibExcel and VOSviewer tools. A systematic analysis was carried out on the recovered documents, considering type of culture, experimental time, growth and protein yield, population density, water quality, microbiological and physiological characteristics of the crop. Categories were determined in which the studies related to technology and the main challenges identified in the application of technology are defined. Results: 258 documents were found, 94.12 % corresponded to research articles. Productivity was higher in 2014 and 2016. The Federal University of Santa Catarina and Federal University of Rio Grande FURG in Brazil have the highest production. In co-authorship, 18 nodes were identified. 59.3 % of the documents reported investigations with shrimp and 18.99 % with tilapia. The best production times were in the ranges of 41-50 days (12.4 %), 21-30 days (11.24 %) and 51-60 days (9.68 %). The C:N ratio was not reported in 92.6 % of the studies. However, 3.48 % reported ratios of 15:1 and 1.16 % of 20:1. The main categories were performance (44.18 %) and productivity (26.35 %). Conclusions: Biofloc technology represents an opportunity for sustainability in species aquaculture practices. A gradual growth in research processes was evidenced in recent years; the main studies are related to the performance in terms of growth and optimization of the protein conversion processes in the analyzed crops, whether individual or in polyculture.

 

 

Global warming is a problem that threatens humanity, with livestock being one of the causes. A systematic literature review was carried out by using some appropriate elements of the PRISMA statement to identify disciplines that work to mitigate the effects of the livestock industry by organizing them according to their approach to addressing this problem. The main objective is to find information and classify the disciplines, papers, literature review methodologies, research gaps, authors, and journals developing the management of the cattle supply chain. This paper could analyze and mitigate the adverse effects on society and the environment generated by the industry, organizing them according to their approach. Twenty databases were consulted between March and May 2020, from which 146 review documents were chosen. The papers reviewed were published between 2003 and 2020. The eligibility criteria for selection were open access to the full text, publication in an indexed journal, and a focus on any discipline related to cattle. The unselected papers did not have DOIs or duplicates, and those focused on other types of meat and book chapters. Subsequently, the information in the selected papers was described and consolidated, and these papers had 602 authors and were from 99 journals. Next, a discipline categorization was proposed. The results were organized, showing that among all the analysis criteria, the category of veterinary medicine had the best results in terms of indicators; therefore, additional research is needed on the other disciplines, especially in culture, technology, management, quality control, tanneries, and transportation, as there was less research within these disciplines. It is recommended that research on a mix of the different proposed disciplines be conducted. The proposed categorization’s main contribution is to identify and group the cattle supply chain’s different disciplines and the definition of research gaps organized under a structure organizational management model. Finally, a multicriteria selection methodology must be used that prioritizes the discipline categories proposed in this review to guide future research.

 

 

Industrial parks have been used to promote the economic development of countries. However, its rapid growth has generated environmental problems related to the depletion of natural resources and pollution. Consequently, the network analysis and the bibliometric analysis applied in this research generated qualitative and quantitative information from a systemic perspective on the thematic and community evolution of research on industrial parks (IP) performed to improve its negative environmental impact and reach sustainability. This study used the Web of Science (WoS) database from 1996 – 2019. The main trends and critical research points were identified in four periods of 6-year each. Social network analysis (SNA) was used to identify the intellectual structure main and the academic collaboration networks established among countries/territories, institutions, and authors. The most productive country in articles is currently China (882), however, when we consider the frequency of articles per million inhabitants, it ranks seventh. The WoS database grouped 63.6 % of the articles published in the subjects of “Environmental Sciences & Ecology”, “Engineering”, and “Science & Technology – Other Topics”. Industrial Ecology (IE), Industrial Symbiosis (IS), and Circular Economy (CE) were the author keywords with the highest frequency, indicating that IP research has focused from these perspectives to promote the exchange of byproducts and to evaluate the performance and environmental impact of industrial areas through the use of methodologies such as carbon footprints, emergy analysis, and life cycle analysis (LCA). Finally, some themes were identified and proposed for future research based on analyzing research trends and hot spots from the literature review on industrial parks.

 

 

Bibliometric studies allow to collect, organize and process information that can be used to guide the development of research and innovation and to provide basis for decision-making. Paraffin/olefin separations constitute an important industrial issue because cryogenic separation methods are frequently needed in industrial sites and are very expensive. As a consequence, the use of membrane separation processes has been extensively encouraged and has become an attractive alternative for commercial separation processes, as this may lead to reduction of production costs, equipment size, energy consumption and waste generation. For these reasons, a bibliometric survey of paraffin/olefin membrane separation processes is carried out in the present study in order to evaluate the maturity of the technology for this specific application. Although different studies have proposed the use of distinct alternatives for olefin/paraffin separations, the present work makes clear that consensus has yet to be reached among researchers and technicians regarding the specific membranes and operation conditions that will make these processes scalable for large-scale commercial applications.

 

 

Background: In the face of numerous sustainability challenges within global logistics operations, smart logistics, or Logistics 4.0, has emerged as a rapidly evolving field over the past decade. Situated within the broader context of Industry 4.0, Logistics 4.0 serves as a critical pillar for ensuring business sustainability by leveraging innovative and disruptive technological solutions. This study offers a novel and comprehensive analysis of the role of Logistics 4.0 in fostering business sustainability, with a particular focus on the agro-industrial sector. Methods: Employing a bibliometric and content analysis approach, this research examines 56 publications from 2015 to 2021, sourced from Scopus, ScienceDirect, and Springer databases. The bibliometric research method incorporates joint keyword analysis using VOSviewer and is complemented by a content analysis of the selected articles. The bibliometric analysis uncovers a growing yet still nascent publication trend in this field. Results: The study reveals that Logistics 4.0 plays a significant role in enhancing the sustainability of firms across various sectors, particularly within the agro-industrial sector. By harnessing digital technologies and innovative business models, Logistics 4.0 paves the way for creating competitive advantages for agro-industrial firms. Conclusion: This research emphasizes the pivotal role of Logistics 4.0 in promoting sustainable and competitive growth in agribusiness, offering valuable insights for both academia and industry practitioners.

 

 

ChatGPT adds to the list of artificial intelligence-based systems designed to perform specific tasks and answer questions by interacting with users (Apple’s Siri, Amazon’s Alexa, Google’s Assistant and Bard, Microsoft’s Cortana, IBM’s Watson, Bixby from Samsung, among others). ChatGPT works using OpenAI’s GPT (Generative Pretrained Transformer) language model and is capable of learning from users’ preferences and behavior patterns to customize its response. ChatGPT has the potential to be applied in different fields, including education, journalism, scientific writing, communication, cell biology, and biotechnology, where there is already evidence. The aim of this work was to analyze the possible applications of ChatGPT in the agricultural and livestock industry. First, a scientometric analysis was performed with VosViewer and Bibliometrix (Bliblioshiny). 3 clusters were identified: (a) Main characteristics; (b) learning systems you use; and (c) applications. To the question: What are the main applications in which ChatGTP will revolutionize agriculture (or livestock) in the world? ChatGPT responded: (a) in the agricultural field: improvement of agricultural decision-making, optimization of agricultural production, detection and prevention of plant diseases, climate management, and supply chain management; and (b) in the livestock field: improvement of animal health and welfare, optimization of animal production, supply chain management, detection and prevention of zoonotic diseases, and climate management for animal production. ChatGPT does not scientifically support its answer, but from the analysis carried out, we find that there is enough scientific evidence to conclude, in this case, that its answers were correct. While ChatGPT does not necessarily scientifically substantiate its answers, users should. There is a lack of studies on the use of Artificial Intelligence and its relationship with ethics.

 

 

The industrial and economic development of the industrialized countries, from the nineteenth century, has gone hand in hand with the development of electricity, the internal combustion engine, computers, the Internet, data use, and the intensive use of knowledge focused on science and the technology. Most conventional energy sources have proven to be finite and exhaustible. In turn, the different production activities of goods and services using fossil fuels and conventional energy have significantly increased the pollution of the environment, and with it, contributed to global warming. The objective of this work was to carry out a theoretical approach to data analytics and business intelligence technologies applied to smart electrical-system networks with renewable energies. For this paper, a bibliometric and bibliographic review about Big Data Analytics, ICT tools of industry 4.0 and Business intelligence was carried out in different databases available in the public domain. The results of the analysis indicate the importance of the use of data analytics and business intelligence in the management of energy companies. The paper concludes by pointing out how business intelligence and data analytics are being applied in specific examples of energy companies and their growing importance in strategic and operational decision-making.

 

 

Highlights: A brief review of industrial, logistics, and Supply Chain Management evolution. A concept and the technological elements for Supply Chain Management 4.0 (SCM 4.0) are presented. Potential applications of SCM 4.0 are reviewed as well. Goal: This paper aims at reviewing the historical development of the Supply Chain Management 4.0 concept and to propose an update for it. Design/Methodology/Approach: The exploratory part of the paper started with a bibliometric analysis to identify relevant keywords and publications per year. Secondly, a historical review of the concepts of Supply Chain Management is presented. Additionally, the paper embraced a conceptual approach to propose a new definition of Supply Chain Management 4.0. Lastly, a research outlook and some initiatives to the practical application of the concept are presented. Results: The bibliometric analysis about Supply Chain Management 4.0 reinforce the growing importance of the topic. The main keywords related to the subject indicate that Big Data, cloud computing, and Internet of Things are the most widely explored issues within smart supply chains. Analysis indicate that smart supply chains take advantage of communication and technological advances in order to build an adaptive, efficient, and transparent network. However, the application of such concept requires the development of knowledge, not only in the hardware and software fields, but also in the managerial field, to address the question of how to use that information and communication to benefit stakeholders. Limitations of the investigation: The document reports an exploratory research applied only to the Scopus database. In addition, only English-language literature was considered. Practical implications: The review showed a lack on the development of knowledge not only in the hardware field, but also in the managerial field. It is recommendable that studies focus on areas such as required data to be exchanged, potential financial benefits, and technological and managerial challenges. Originality/value: An overview of the historical evolution of the supply chain to the Supply Chain Management 4.0 is presented. A concept of Supply Chain Management 4.0 is proposed. Application examples illustrated the practical implementation of the proposed concept.

 

 

Nowadays, discussions about the use of energy efficiency in industries have intensified due to the need to optimize the resources used, especially the high cost in the production process. In this context, a literature review and a research agenda on energy efficiency in industrial environments can assist in the search for solutions and challenges to reduce energy consumption in manufacturing, as well as identify future trends for the topic. Therefore, this article proposes to update the energy efficiency research agenda in industrial environments, through a systematic review of the literature, between the years 2015 and 2020, in search of articles published in journals with current practices and the new strategies used in energy management. For the review of the research agenda, one hundred and eighty-five articles were selected, which were read and used in the bibliometric analysis, which was compared to the results obtained and observed in the base article for this update, thus helping in directing the creation of an agenda for studies and practices in energy efficiency in manufacturing environments.

 

 

The journal of Operations Management Research (OMR) is a rigorous journal that started its publication in 2008. It publishes short, focused research studies that advance both the theory and practice of operations management. Considering the relevant OMR’s contribution to the field of Operations Management in the last years, this study provides an overall assessment of the journal performance by conducting a retrospective review. To elaborate on OMR’s temporal development in terms of publications, authors, affiliated institutions and countries, citation patterns, and conceptual structure, we extract publications from Scopus database for the period 2008–2020. We rely on bibliometric techniques in addition to bibliographic coupling, keyword analysis, and content analysis. 166 documents were analyzed using RStudio, VOSviewer, and Microsoft Excel. Findings emphasize OMR’s steady productivity growth (3.24%). Narrowly, Olhager J. is the most productive authors while Kalchschmidt M. and Stentoft J. are the most influential authors (H-index of 4). Furthermore, USA contributes to the highest number of publications while UK is the most influential country in terms of citations. Cranfield School of Management, UK stands as the top cited university. The analysis of the thematic evolution concludes to three main clusters: “Manufacturing and Supply chain Performance”, “Six Sigma and Lean Management”, and “Reshoring, Backshoring and Offshoring”. This study recommends to further investigate the implications of the fourth industrial revolution and the sequels of COVID-19.

 

 

This study aims to analyse the literature regarding the characteristics of Industry 4.0 in the context of operations management. The analysis covers the evolution of publications over time, the countries involved, the most prolific journals, the most cited authors, and the identification of the most frequent words that can generate insights for the research agenda. A total of 235 articles published between 2011 and 2017 were collected through an automated process from the Scopus and Web of Science databases and later analysed using data mining, bibliometric indicators analysis, clusters analysis, networks analysis, and word cloud. The bibliographic analysis explained the interaction between the various concepts and techniques associated with the central theme. These concepts and respective characteristics discussed allow an understanding and the development of agenda with theoretical possibilities to fill current research gaps.

 

 

Military innovations have historically driven technological development and industry innovation. This research focuses on Industry 4.0 technologies and their relationship with the development of military applications in the current context. A literature review and a bibliometric study using Bibliometrix evidence the relationship between the multidimensional difficulties in implementing technologies and the scarce research in these fields. Compared to more developed countries, there are wide technological gaps in Latin America, generating a strong technological dependence. Thus, it is concluded that research and innovation in Industry 4.0 and its military applications is a strategic opportunity for Latin America, as it can boost the region’s technological, economic, and social development.

 

 

This paper reports a second-order structural equation model composed of four variables: the green attributes before and after an industrial production process, the operating benefits, the commercial benefits, and the economic benefits. The variables are related by means of five hypotheses and are validated statistically with information obtained from 559 responses to a questionnaire applied to the Mexican maquila industry. The model is evaluated using the technique of partial least squares and the results obtained indicate that the green attributes before and after the production process have a direct and positive effect on the obtained benefits, mostly on the operational ones. It is concluded that companies that are focused on increasing their greenness level must monitor and evaluate the existence of green attributes in their production process to guarantee benefits and make fast decisions if required due to deviations.

 

 

Few decades ago, the development of the industrial sector was disconnected from society’s protection. Negative effects awareness emerges from the current industrial processes through the Sustainable Development Goals (SDGs), considering the causal implications to build up a more sustainable society. The aim of this study is to analyze the state of the art in industrial processes management to obtain positive and sustainable effects on society. Thus, a bibliometric analysis of 1911 articles was set up during the 1988–2019 period, bringing up the authors’ productivity indicators in the scientific field, that is, journals, authors, research institutions, and countries. We have identified environmental management; the impact assessments of industrial processes on the environment and its relation with a more sustainable society; as well as the study of the sustainable management of water resources as the related axes in the study of environmental protection with political, economic, and educational approaches. The growing trend of world scientific publications let us observe the relevance of industrial processes management in the implementation of efficient models to achieve sustainable societies. This research contributes to the academic, scientific, and social debate on decision-making both in public and private institutions, and in multidisciplinary groups.

 

 

The presence of contaminants in water is concerning due to the potential impacts on human health and the environment, and ingested contaminants cause harm in various ways. The conventional water treatment systems are not efficient to remove these contaminants. Therefore, novel techniques and materials for the removal of contaminants are increasingly being developed. The separation process using modified membranes can remove these micropollutants; therefore, they have attracted significant research attention. Among the materials used for manufacturing of these membranes, composites based on graphene oxide and reduced graphene oxide are preferred owing to their promising properties, such as mechanical resistance, thermal and chemical stability, antifouling capacity, water permeability, high thermal and electrical conductivity, high optical transmittance and high surface area. Membrane separation processes (MSP) can be used as secondary or tertiary treatment during the supply of wastewater. However, the efficient and accessible applications of these technologies are challenging. This study aims to demonstrate the main concepts of membrane separation processes and their application in the removal of emerging contaminants. This study reports bibliometric mapping, relevant data on studies using membranes as water treatment processes, and their viability in industrial applications. The main challenges and perspectives of these technologies are discussed in detail as well.

 

 

The advance of digitalization in industry is making possible that connected products and processes help people, industrial plants and equipment to be more productive and efficient, and the results for operative processes should impact throughout the economy and the environment. Connected products and processes generate data that is being seen as a key source of competitive advantage, and the management and processing of that data is generating new challenges in the industrial environment. The article to be presented looks into the framework of the adoption of Artificial Intelligence and Machine Learning and its integration with IIoT or IoT under industry 4.0, or smart manufacturing framework. This work is focused on the discussion around Artificial Intelligence/Machine Learning and IIoT/IoT as driver for Industrial Process optimization. The paper explore some related articles that were find relevant to start the discussion, and includes a bibliometric analysis of the key topics around Artificial Intelligence/Machine Learning as a value added solution for process optimization under Industry 4.0 or Smart Manufacturing paradigm. The main findings are related to the importance that the subject has acquired since 2013 in terms of published articles, and the complexity of the approach of the issue proposed by this work in the industrial environment.

 

 

Project-based organizations (PBOs) derive income from conducting projects for their clients. Maintaining the most effective and efficient project governance style is an ongoing process for these organizations as the context continuously changes. Enterprise architecture (EA) is a systemic approach that supports organizations in modeling and describing themselves in different layers, such as strategy, business, application, and technology. This literature review describes the current state of EA usage in improving and quickly revising project management governance in PBOs to benefit practitioners and researchers for an integrated view of EA, PM, and PBO, and identification of future research gaps. This review used an EA model composed of layers as an analytical framework. The extracted bibliometric and content data from selected articles were processed using the VOSviewer tool for identifying and understanding the relationships between main concepts through network mapping. The selected articles are oriented to internal organization projects, mainly in information technology (IT). The need to align projects with business is highlighted, with EA positioned as a governance tool. It was found that application of EA in PBOs is rare. A trend toward using popular PM and EA frameworks, such as PMBOK and ArchiMate, was observed.

 

 

The increasing number of studies that underline the relationship between industry 4.0 and sustainability shows that sustainability is one of the pillars of smart factories. Through a bibliometric performance and network analysis (BPNA), this research describes the existing relationship between industry 4.0 and sustainability, the strategic themes from 2010 to March 2019, as well as the research gaps for proposing future work. With this goal in mind, 894 documents and 5621 keywords were included for bibliometric analysis, which were treated with the support of Science Mapping Analysis Software Tool (SciMAT). The bibliometric performance analysis presented the number of publications over time and the most productive journals. The strategic diagram shown 12 main research clusters, which were measured according to bibliometric indicators. Moreover, the network structure of each cluster was depicted, and the patterns found were discussed based on the documents associated to the network. Our findings show the scientific efforts are focused to enhance economic and environmental aspects and highlights a lack of effort relating the social sphere. Finally, the paper concludes the challenges, perspectives, and suggestions for the potential future work in the field of study relating to industry 4.0 and sustainability.