Multi-Target Cold Chain Logistics Path Optimization and Algorithm Solution
- DOI
- 10.2991/978-94-6463-570-6_92How to use a DOI?
- Keywords
- Fresh Products; Cold Chain Logistics; Path Optimization; Customer Satisfaction; NSGA-II Algorithm
- Abstract
Considering the high cost of fresh products in the distribution process, the goal of minimizing the cost of cold chain logistics distribution of fresh products is to fully consider all costs incurred in the process of fresh cold chain logistics distribution. On this basis, a customer satisfaction maximization function is introduced to build a multi-target path optimization model for cold chain logistics distribution of fresh products. The improved non-dominant sorting genetic algorithm (NSGA-II) is used to solve the model, and the designed algorithm can obtain the Pareto optimal solution in a short time. Therefore, the model built can effectively solve the problem of optimizing the distribution path of fresh cold chain logistics, and help fresh enterprises achieve a balance between reducing costs and improving customer satisfaction in the process of product distribution.
- 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.
Cite this article
TY - CONF AU - Wenlong Ma AU - Yanbin Wang PY - 2024 DA - 2024/11/22 TI - Multi-Target Cold Chain Logistics Path Optimization and Algorithm Solution BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 917 EP - 926 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_92 DO - 10.2991/978-94-6463-570-6_92 ID - Ma2024 ER -