Recent developments in vehicle routing problem under time uncertainty: a comprehensive review
Yernar A. Turan C.
April 2025Institute of Advanced Engineering and Science
Bulletin of Electrical Engineering and Informatics
2025#14Issue 21263 - 1275 pp.
This review paper examines recent advancements in vehicle routing optimization under time uncertainty, focusing on the vehicle routing problem (VRP). It sys-tematically analyzes research papers to identify strategies for optimizing routes despite temporal uncertainties, covering key areas such as optimization algo-rithms, uncertainty modeling techniques, and simulation methods. The study investigates dynamic dispatching models, reliability considerations, and multiobjective optimization approaches. By synthesizing existing literature, this paper presents the current state of research in vehicle routing under time uncertainty and suggests potential future research directions. Our findings indicate that integrating robust optimization techniques with advanced simulation methods could significantly enhance decision-making processes in uncertain envi-ronments. Additionally, the paper highlights the role of machine learning and artificial intelligence in developing adaptive algorithms that respond to dynamic changes in real-time. As the need for efficient logistics solutions grows, this comprehensive review underscores the importance of addressing uncertainties in vehicle routing to improve operational efficiency, reduce costs, and enhance customer satisfaction.
Delivery optimization , Dynamic routing , Robust optimization , Time uncertainty , Vehicle routing problem
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Department of Computer Science, Faculty of Engineering and Natural Sciences, SDU University, Kaskelen, Kazakhstan
Department of Computer Science
10 лет помогаем публиковать статьи Международный издатель
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