The evolution of the cold chain logistics vehicle routing problem: a bibliometric and visualization revie

Abstract

This paper uses the bibliometric analysis software CiteSpace to examine the current status and evolution of cold-chain logistics vehicle routing problems (CCVRP). 7381 relevant articles published in the Web of Science core collection from 2008 to 2024 were analyzed, an in-depth understanding of the publication trends and category distribution were gained. Subsequently, CiteSpace was used to create a scientific knowledge graph and perform visualization analysis. The analysis includes collaboration among authors, countries, and institutions; co-citation analysis of authors, journals, and references; citation burst detection of keywords; and co-citation cluster analysis of references. Based on a deep understanding of current research hotspots, an in-depth discussion of existing research was conducted from three perspectives: optimization objectives, distribution scenarios, and solution algorithms. The results show that CCVRP involves complex factors such as temperature requirements, time window constraints, and multi-objective optimization. These intricate constraints are causing research to become increasingly interdisciplinary and comprehensive. The evolution of hot topics shows that the research directions span multiple fields, from algorithm design to logistics management. This review helps researchers better understand the history, current status, and future development directions of CCVRP research, and provides valuable references and inspiration for academia and practice.

Graphical abstract

Keywords

Cold chain logistics / Vehicle routing / Carbon emissions / Optimization objective / Solution algorithm