基于混合整数规划的生鲜农产品分销网络优化研究

Research on Optimization of Fresh Agricultural Products Distribution Network Based on Mixed-integer Programming

随着农产品市场的不断发展和农业供应链的复杂性增加,农产品分销网络的优化成为了一个重要的研究领域。本文基于混合整数规划方法,针对农产品分销网络进行了优化研究。首先,建立了一个数学模型,考虑了供应商、分销中心和需求地之间的关系以及各个节点的运输成本、库存成本和需求量等因素。然后,通过使用Python调用Gurobi对混合整数线性规划模型进行求解,确定了拟建分销中心的地址以及其吞吐量,基本能满足新疆各地州供应以及需求地的需求,验证了该方法在农产品分销网络优化中的有效性和可行性。

With the continuous development of agricultural product markets and the increasing complexity of agricultural supply chains,optimizing the distribution network for agricultural products has become an important research area.This paper presents an optimization study on the distribution network for agricultural products using a mixed-integer programming approach.Firstly,a mathematical model is established that considers the relationships between suppliers,distribution centers,and demand locations,as well as factors such as transportation costs,inventory costs,and demand at each node.Then,by using Python to call Gurobi,a powerful mixed-integer linear programming solver,the optimal location and throughput of potential distribution centers are determined.The results show that the proposed distribution centers can effectively meet the supply and demand requirements in various regions of Xinjiang,verifying the effectiveness and feasibility of this method in optimizing the distribution network for agricultural products.