基于客户满意的层级供应链优化模型及算法

基于客户满意度和企业利润这对矛盾,建立了一个层级供应链0-1混合整数规划模型。模型以供应链各相邻层节点之间的供需量和客户对各种产品的期望满意度为决策变量,以供应链总利润最大为目标。模型存在着两级优化问题,首先要从候选节点企业选中部分加入供应链网络,然后再确定相邻层节点企业之间的供需量和客户对产品的期望满意度。给出求解模型的混合遗传算法,并进行了数值实验,验证了优化模型的正确性和算法的有效性。

Optimal model of echelon supply chain based on customer satisfaction and its optimization

Considering the relationship between customer satisfaction and enterprise profit,a 0-1 mix integer programming model is proposed in echelon supply chain.Its objective function is the gross profit of supply chain and corresponding decision variables are supply and demand amount between every adjacent echelon nodes and customer's expected satisfaction to various kinds of products.There exists a bilevel optimal problem in the model.Some nodal enterprises are first selected from candidate nodes to join the supply chain,and then the supply and demand amount between nodal enterprises of adjacent layer and the customer's expected satisfaction to products are ascertained.Finally,a hybrid genetic algorithm is designed to solve the model,and the optimal model's correctness and algorithm's effectiveness are confirmed by numerical experiments.