Producción Científica

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.