供应链环境下面向区域市场的产品组合优化模型与算法

工业工程 ›› 2012, Vol. 15 ›› Issue (6): 95-101.

供应链环境下面向区域市场的产品组合优化模型与算法

1. 北京科技大学经济管理学院，北京 100083；2. 钢铁生产制造执行系统技术教育部工程研究中心，北京 100083

出版日期:2012-12-31 发布日期:2013-01-15
作者简介:彭淑芬（1987-），女，山东省人，硕士研究生，主要研究方向为先进制造管理、供应链优化管理.
基金资助:
教育部博士学科点专项科研基金资助项目(20100006110006)；国家自然科学基金资助项目(70771008)

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

1. School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China; 2. Engineering Research Center of MES Technology for Iron & Steel Production, Ministry of Education, Beijing 100083, China

Online:2012-12-31 Published:2013-01-15

摘要/Abstract

摘要： 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。

关键词: 供应链, 多目标规划, 粒子群算法, 相对优属度

Abstract: 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.

Key words: supply chain, multi-objective optimization, particle swarm optimization, relative optimum membership degree

彭淑芬1,2，李铁克1,2，王柏琳1,2. 供应链环境下面向区域市场的产品组合优化模型与算法[J]. 工业工程, 2012, 15(6): 95-101.

Peng Shu-fen1,2, Li Tie-ke1,2, Wang Bai-lin1,2. Modeling and Optimization of Regional-Market-Oriented Product Mix in Supply Chain Environment[J]. Industrial Engineering Journal , 2012, 15(6): 95-101.

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