Research on Cold Chain Site Selection Layout for Multiple Distribution Centers Considering Construction Quantity
- DOI
- 10.2991/978-94-6463-570-6_102How to use a DOI?
- Keywords
- cold chain transportation; third level distribution network; multiple distribution center site selection; improved adaptive genetic algorithm
- Abstract
To enhance dairy product distribution efficiency and reduce damage during transportation, this study addresses losses in the logistics chain from production centers to distribution centers and demand points. By considering distribution center number, location, and capacity, the optimal locations are determined using the elbow method and allocated based on demand. A model for optimizing multiple dairy distribution centers is developed to minimize total cost. Improvements to the adaptive genetic algorithm, including adaptive crossover and mutation probabilities, enhance algorithm efficiency and quality. The optimal distribution center locations are identified based on real-world conditions, with a case study in Jinan, Shandong Province validating the model’s effectiveness and practicality.
- 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 - Liying Li AU - Xiaoman Hu PY - 2024 DA - 2024/11/22 TI - Research on Cold Chain Site Selection Layout for Multiple Distribution Centers Considering Construction Quantity BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 1018 EP - 1026 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_102 DO - 10.2991/978-94-6463-570-6_102 ID - Li2024 ER -