Multi-Target Cold Chain Logistics Path Optimization and Algorithm Solution

Wenlong Ma () and Yanbin Wang
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Wenlong Ma: Liaoning Technical University, School of Business Administration
Yanbin Wang: Liaoning Technical University, School of Business Administration

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 917-926 from Springer

Abstract: 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.

Keywords: Fresh Products; Cold Chain Logistics; Path Optimization; Customer Satisfaction; NSGA-II Algorithm (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-570-6_92

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