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.