Journal of Applied Mathematics and Physics

Volume 11, Issue 6 (June 2023)

ISSN Print: 2327-4352   ISSN Online: 2327-4379

Google-based Impact Factor: 1.00  Citations  

Multi-Objective Cold Chain Path Optimization Based on Customer Satisfaction

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DOI: 10.4236/jamp.2023.116116    195 Downloads   686 Views  Citations

ABSTRACT

To improve customer satisfaction of cold chain logistics of fresh agricultural goods enterprises and reduce the comprehensive distribution cost composed of fixed cost, transportation cost, cargo damage cost, refrigeration cost, and time penalty cost, a multi-objective path optimization model of fresh agricultural products distribution considering client satisfaction is constructed. The model is solved using an enhanced Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II), and differential evolution is incorporated to the evolution operator. The algorithm produced by the revised algorithm produces a better Pareto optimum solution set, efficiently balances the relationship between customer pleasure and cost, and serves as a reference for the long-term growth of organizations.

Share and Cite:

Zhang, J. and Ding, B. (2023) Multi-Objective Cold Chain Path Optimization Based on Customer Satisfaction. Journal of Applied Mathematics and Physics, 11, 1806-1815. doi: 10.4236/jamp.2023.116116.

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