Robust optimization models for the discrete time/cost trade-off problem
International Journal of Production Economics
87 - 95
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/21993
Developing models and algorithms to generate robust project schedules that are less sensitive to disturbances are essential in todays 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. © 2010 Elsevier B.V. All rights reserved.
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