供应链环境下面向区域市场的产品组合优化模型与算法

Modeling and Optimization of Regional-Market-Oriented Product Mix in Supply Chain Environment

在供应链环境下,每个企业节点都面临着面向下游区域市场的产品组合优化问题。针对这一问题,综合考虑了企业利润、市场满足率和产品销售率三类优化目标,建立了多目标的产品组合优化模型,并设计了求解算法。算法采用基于量子空间的改进粒子群算法作为求解框架,通过引入相对优属度的概念设计适应度函数,以实现对多目标的处理。数据实验表明,本文提出的模型和算法是有效的。

In a supply chain,for each enterprise,product mix is downstream regional market oriented.To effectively operate a supply chain,each enterprise should optimize its product mix in the viewpoint of the whole supply chain.This problem is formulated as a multi-objective optimization problem with enterprise profit,market fill rate,and product sale rate as objectives.Then,based on quantum theory,an improved particle swarm optimization algorithm is proposed to solve the problem.By this algorithm,a concept of relative optimum membership degree is defined as fitness function such that multiple objectives can be effectively treated.Numerical experiments show that the proposed method is effective.