生鲜农产品物流配送选址-路径优化研究

本文旨在研究生鲜农产品物流配送选址-路径问题，探讨如何优化生鲜农产品的配送网络，提高物流效率和降低成本。首先，我们分析了生鲜农产品物流配送的特点和难点，包括货物易腐、时效性要求高、运输环节多等。其次，我们介绍了一些常用的物流配送选址-路径优化算法，包括最短路径算法、遗传算法和模拟退火算法等。最后，我们以某生鲜农产品企业为例，通过实际调研和数据分析，提出了一种基于遗传算法和模拟退火算法相结合的物流配送路径优化方案，取得了显著的效果。该方案不仅提高了物流效率，减少了成本，还增加了顾客满意度。本文的研究对于生鲜农产品物流配送领域的发展具有一定的参考价值。

Abstract

This paper aims to study the problem of location-routing for fresh agricultural products logistics and explore how to optimize the distribution network of fresh agricultural products, improve logistics efficiency and reduce costs. First, we analyzed the characteristics and difficulties of the logistics distribution of fresh agricultural products, including perishable goods, high time requirements, and multiple transportation links. Secondly, we introduced some commonly used algorithms for logistics distribution location-routing optimization, including shortest path algorithm, genetic algorithm, and simulated annealing algorithm. Finally, we took a certain fresh agricultural product enterprise as an example, and through actual investigation and data analysis, proposed a logistics distribution path optimization scheme based on the combination of genetic algorithm and simulated annealing algorithm, which achieved significant results. This scheme not only improves logistics efficiency, reduces costs, but also increases customer satisfaction. The research in this paper has certain reference value for the development of logistics distribution in the field of fresh agricultural products.