DEVELOPMENT OF A SOLUTION APPROACH FOR STOCHASTIC SUPPLY CHAIN NETWORK DESIGN

摘要：

This paper proposes a solution strategy for solving supply chain network design problems under uncertainty. The uncertainties are mostly found in the tactical stage because most tactical parameters are not fully known when the strategic decisions have to be made. These parameters will become known with more certainty after the supply chain is in operation. The main uncertain parameters are the customer demands, capacity of the facilities and the operational costs. A sampling strategy with an accelerated Benders decomposition algorithm will be integrated to quickly compute solutions of stochastic supply chain network design problems. The surrogate constraints method will be utilized to acceleration of the decomposition algorithm. In this method, the main constraints of the master problem in Benders decomposition will be replaced by the strongest surrogate constraint. A computational study on randomly generated data sets is presented to highlight the efficiency of the proposed solution strategy.

关键词： Supply chain network design Stochastic programming Combinatorial optimization Benders’decomposition Surrogate constraints

作者: Hadi Mohammadi Bidhandi Rosnah bt. Mohd. Yusuff

作者单位: Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran;Dep Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia, 43400 UPM Serdang

会议类型: 国际会议

会议名称: 第二十届国际生产研究大会

会议地点: 上海

会议语种:英文

页码: 1-6

在线出版日期: 2009-08-02（万方平台首次上网日期，不代表论文的发表时间）