Multi-Period Heterogeneous Vehicle Green Location-Routing Optimization Considering Uncertain Demand

Authors

  • Zhang Jian, Cunjie Dai, Runyu Wu, Tingyu Wang, Jianghong Feng School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China Author

Abstract

To lessen the amount of money spent on logistics and the amount of carbon dioxide that is produced during delivery, as well as to investigate the interconnected and highly influential factors that facility location and vehicle delivery have on delivery efficiency, a multi-period heterogeneous vehicle delivery center location-path optimization model under uncertainty has been developed. With the aim of reducing the costs associated with the logistics system, this model takes into account the limitations imposed by the capacity of distribution centers and a method of logistics that concurrently manages delivery and returns. The issue was developed to be solved using the NSGA-II algorithm, which was included with tabu search and recombination techniques. The efficiency of the model and algorithm was shown by numerical tests. Examine the implications that optimistic, expected, and pessimistic values have on site selection and vehicle service route tactics within the context of the planning model for uncertain opportunity constraints. Additionally, a sensitivity analysis should be carried out to have a better understanding of how credibility and the range of unknown factors influence the results of site selection and route optimization. The results indicate the model's ability to guide decision-making regarding site selection and vehicle transportation route determination.

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Published

2025-09-01

How to Cite

Multi-Period Heterogeneous Vehicle Green Location-Routing Optimization Considering Uncertain Demand. (2025). IAENG International Journal of Applied Mathematics, 55(9), 2942-2953. https://ijesworld.com/index.php/IEANG/article/view/85