Emergency Logistics Vehicle Routing Optimization Model under Uncertain Environment

DOI

10.2991/978-94-6463-570-6_95How to use a DOI?

Keywords

Emergency Logistics; Demand Urgency; Path Optimization

Abstract

Against the background of public health events, in the face of demand uncertainty, it is necessary to rationally plan emergency logistics routes to ensure the timely delivery of supplies to disaster-affected areas. Taking a certain area in Wuhan during the epidemic as an example, it was found that there was a lack of reasonable planning for emergency material routes, and the urgency of service at disaster-affected points was not considered during material distribution. An analysis of demand urgency was conducted to address this issue, and a service urgency model was constructed. Simultaneously, a linear goal planning model was established with vehicle distance cost, penalty cost, and fixed operating cost as the objective functions, and with constraints such as vehicle load capacity, delivery time windows, and material demand urgency. The genetic algorithm was employed to solve the model. An example was used to demonstrate the effectiveness of the vehicle routing model considering the urgency of emergency material services.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Baiquan Li
AU  - Baocheng Ding
PY  - 2024
DA  - 2024/11/22
TI  - Emergency Logistics Vehicle Routing Optimization Model under Uncertain Environment
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 954
EP  - 962
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_95
DO  - 10.2991/978-94-6463-570-6_95
ID  - Li2024
ER  -