Strategic design of competing supply chain networks with foresight

Rezapour, Shabnam, Zanjirani Farahani, Reza, Ghodsipour, Seyed Hassan and Abdollahzadeh, Sohrab (2011) Strategic design of competing supply chain networks with foresight. Advances in Engineering Software, 42(4), pp. 130-141. ISSN (print) 0965-9978

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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.

Item Type: Article
Uncontrolled Keywords: Supply chain network design; Stackelberg game; Linear bi-level program; Meta-heuristic, minimum regret strategy, game against nature, multicriteria decision-making, service competition, demand uncertainty, equilibrium-model, facility location, solution algorithm, price, inventory, retailers, optimization
Research Area: Business and management studies
Faculty, School or Research Centre: Faculty of Business and Law (until 2017)
Faculty of Business and Law (until 2017) > Kingston Business School (Informatics and Operations Management) (until July 2013)
Depositing User: Reza Zanjirani Farahani
Date Deposited: 25 Jan 2011 14:19
Last Modified: 23 May 2011 08:46

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