Artículo

Scientific mapping and research perspectives of the vehicle routing problem: An approach from sustainability strategies

Resumen

The Vehicle Routing Problem (VRP) not only poses a fundamental challenge in logistics and operations management but also plays a crucial role in mitigating environmental impact through the optimization of efficient and sustainable routes. The scientometric development proceeded in two stages: scientific mapping and network construction. In the first stage, a bibliometric analysis of publications indexed in Scopus from 2000 to March 2024 was conducted using the PRISMA and Tree of Sciences (TOS) methodology, selecting 364 relevant documents on “sustainable” and “Vehicle Routing Problem”. Recommended bibliometric procedures were applied, and Bibliometrix tools were utilized to integrate bibliographic information. In the second stage, a citation network was constructed using graph theory to identify key documents and research trends, analyzing indicators such as Indegree, Betweenness, and Outdegree. The results indicated a significant increase in publications on VRP and sustainability since 2013, highlighting international collaboration and the leadership of China and the United States. Key authors and journals in the field were also identified. Finally, research clusters were developed on electric vehicle routing optimization, optimization methods, routing problems, and logistical challenges, underscoring the cooperation between enterprises and sustainable logistics as key areas for future research.
Alzate, Paola (58616327200); Londoño, Gabriel Antonio Moyano (59447194900); Carrasco, José Manuel Slater (59446711900); Isaza, Gustavo A. (25932155100); Toro, Eliana M. (59446712000); Jaramillo-Garzón, Jorge A. (26321675100)
Scientific mapping and research perspectives of the vehicle routing problem: An approach from sustainability strategies
2024
10.1016/j.sftr.2024.100390
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210537587&doi=10.1016%2fj.sftr.2024.100390&partnerID=40&md5=f82167402c2abeddc0c08a20569c6349
Faculty of Artificial Intelligence and Engineering, Universidad de Caldas, Manizales, Colombia; Faculty of Administrative, Economics and Accounting Sciences, Universidad Católica Luis Amigó, Manizales, Colombia; Facultad de Ingeniería, Universidad Autónoma de Chile, Temuco, Chile; Faculty of Business Science, Universidad Tecnológica de Pereira, Pereira, Colombia; Agroindustry and Bioprocess Plant CDT, Universidad de Caldas, Manizales, Colombia
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Scopus
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