Strategic design of competing supply chain networks with foresight

被引:30
作者
Rezapour, Shabnam [2 ]
Farahani, Reza Zanjirani [1 ]
Ghodsipour, Seyed Hassan [3 ]
Abdollahzadeh, Sohrab [2 ]
机构
[1] Kingston Univ, Dept Informat & Operat Management, Kingston Business School, Surrey KT2 7LB, England
[2] Urmia Univ Technol, Dept Ind Engn, Orumiyeh, Iran
[3] Amirkabir Univ Technol, Dept Ind Engn, Tehran, Iran
关键词
Supply chain network design; Stackelberg game; Linear bi-level program; Meta-heuristic; Minimum regret strategy; Game against nature; MULTICRITERIA DECISION-MAKING; FACILITY LOCATION; SOLUTION ALGORITHM; EQUILIBRIUM-MODEL; PRICE; INVENTORY; FORMULATION; RETAILERS; RISK;
D O I
10.1016/j.advengsoft.2010.12.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We consider models for duopolistic competitive supply chain network designing with sequential acting and variable delivered prices. These models design a multi-tier chain operating in markets under deterministic price-depended demands and with a rival chain present. The existing rival chain tends to open some new retailers to recapture some income in a near future. These rival chains' structures are assumed to be set "once and for all" in a sequential manner but further price adjustments are possible. This problem is modeled for each of the following two strategies: (1) the von Stackelberg strategy in which we assume the existing chain will choose its future entry sites in the way to optimize its market share. This problem is modeled by a linear binary bi-level program and solved by a combinatorial meta-heuristic. (2) the minimum regret strategy in which we assume the existing chain's future entry sites are totally unpredic, it is playing a "game against nature". This problem is modeled by linear binary programs. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.
引用
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页码:130 / 141
页数:12
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