Robust optimization models for the discrete time/cost trade-off problem

Öncü HazIr, Erdal Erel and Yavuz Günalay

International Journal of Production Economics, 2011, vol. 130, issue 1, 87-95

Abstract: Developing models and algorithms to generate robust project schedules that are less sensitive to disturbances are essential in today's highly competitive uncertain project environments. This paper addresses robust scheduling in project environments; specifically, we address the discrete time/cost trade-off problem (DTCTP). We formulate the robust DTCTP with three alternative optimization models in which interval uncertainty is assumed for the unknown cost parameters. We develop exact and heuristic algorithms to solve these robust optimization models. Furthermore, we compare the schedules that have been generated with these models on the basis of schedule robustness.

Keywords: Project; scheduling; Robust; Optimization; Benders; decomposition; Tabu; search (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:130:y:2011:i:1:p:87-95

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