SUPPLY CHAIN NETWORK DYNAMICS WITH MULTI-OBJECTIVE DECISION UNDER DEMAND UNCERTAINTY

摘要：

The dynamics of a three tiers supply chain network in the presence of demand uncertainty is considered in this paper. The objective is assessed by taking into account not only the profit over the time horizon, but also the resulting uncovered demand satisfaction. An equilibrium Variational Inequality (VI) for all the nodes of the supply chain is derived. The proposed model is tested using Modified Goldstein-Levitin-Polyak Projection Algorithm. A numerical example is provided for illustrative purpose. And the results illustrate the demand satisfaction tends to reduce the amount of product flow between node of the supply chain.

关键词： Supply chain multi-objective decision variational inequality demand uncertainty modified Goldstein-Levitin-Polyak Projection Algorithm

作者: QIANG MAI SHI AN JIAN WANG

作者单位: School of Science and Engineering on Communication, Harbin Institute of Technology, Harbin P.R.China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 1710-1715

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）