A Metaheuristic Approach for Supply Chain Network Design Problems

被引：0
|
作者：
Venkatadri, Uday [2 ]
Bose, Soumen [3 ]
Azaron, Amir [1 ,4 ]
机构：
[1] Reykjavik Univ, Dept Financial Engn & Engn Management, Reykjavik, Iceland
[2] Dalhousie Univ, Dept Ind Engn, Halifax, NS, Canada
[3] Indian Inst Technol, Dept Ind Engn & Management, Kharagpur, W Bengal, India
[4] Univ Coll Dublin, Michael Smurfit Grad Sch Business, Dublin, Ireland
来源：
MODELING AND SIMULATION IN ENGINEERING, ECONOMICS, AND MANAGEMENT, MS 2012 | 2012年 / 115卷
关键词：
Supply chain management; Metaheuristics; Stochastic programming; Multiple objective programming; STOCHASTIC-PROGRAMMING APPROACH; UNCERTAINTY; MODELS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We develop a multi-objective stochastic programming model for supply chain design under uncertainty using a metaheuristic approach. This is a comprehensive model, which includes both the strategic and tactical levels. The uncertainty regarding demands, supplies, processing and transportation costs is captured by generating discrete scenarios with given probabilities of occurrence. To solve the problem, we use multi-objective simulated annealing and compare the results against the goal attainment technique. Numerical results show that the proposed metaheuristic approach is a very practical solution technique.
引用
收藏
页码：114 / 122
页数：9
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