A note on Liu-Iwamura's dependent-chance programming

Roberto Rossi, S. Armagan Tarim, Brahim Hnich, Steven Prestwich and Cahit Guran

European Journal of Operational Research, 2009, vol. 198, issue 3, 983-986

Abstract: Sometimes a complex stochastic decision system undertakes multiple tasks called events, and the decision-maker wishes to maximize the chance functions which are defined as the probabilities of satisfying these events. Originally introduced by Liu and Iwamura [B. Liu, K. Iwamura, Modelling stochastic decision systems using dependent-chance programming, European Journal of Operational Research 101 (1997) 193-203], dependent-chance programming is aimed at maximizing some chance functions of events in an uncertain environment. In this work, we show that the original dependent chance-programming framework needs to be extended in order to capture an exact reliability measure for a given plan.

Keywords: Inventory; control; Integer; programming; Constraint; programming; Demand; uncertainty (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:198:y:2009:i:3:p:983-986

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