Research on Optimization of Cold Chain Distribution Path of Fresh Agricultural Products Based on Big Data Technology
- DOI
- 10.2991/978-94-6463-030-5_37How to use a DOI?
- Keywords
- Component; Big Data Technology; Fresh Agricultural Products; Cold Chain Logistics; Distribution Path Optimization
- Abstract
This paper takes the minimization of the cost of fresh agricultural products cold chain logistics distribution enterprises as the research goal. At the same time, we have comprehensively considered all the costs of vehicle loss, transportation, cargo damage, refrigeration, and delay that occurred during the distribution process. We use the improved ant colony algorithm to solve the model, and the validity of the model is verified by an example. Through an example, the model in the article is compared with the path optimization results of the traditional VRP model with the shortest total mileage as the objective function, so as to provide a reference for the optimization decision of the distribution path of fresh agricultural products vehicles.
- Copyright
- © 2023 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 - Hongmin Pan AU - Jie Sun PY - 2022 DA - 2022/12/20 TI - Research on Optimization of Cold Chain Distribution Path of Fresh Agricultural Products Based on Big Data Technology BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 354 EP - 362 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_37 DO - 10.2991/978-94-6463-030-5_37 ID - Pan2022 ER -