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
Full text not available from this archive.Abstract
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 Faculty of Business and Law > Kingston Business School (Informatics and Operations Management) |
| Depositing User: | Reza Zanjirani Farahani |
| Date Deposited: | 25 Jan 2011 14:19 |
| Last Modified: | 23 May 2011 08:46 |
| URI: | http://eprints.kingston.ac.uk/id/eprint/17956 |
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