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AuthorSaid, Samer S.
AuthorHaouari, Mohamed
Available date2023-01-23T08:18:12Z
Publication Date2015
Publication NameApplied Mathematics and Computation
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.amc.2015.02.092
URIhttp://hdl.handle.net/10576/38695
AbstractWe investigate a stochastic Discrete Time/Cost Trade-off Problem. This multimode project scheduling problem, requires assigning modes to activities, and scheduling the activities so that the sum of the activities cost and the expected tardiness cost is minimized. Furthermore, the derived solution should be stable. This stability property renders the schedule less sensitive to uncontrollable factors that may disrupt the project execution. To solve this problem, we propose a two-stage solution strategy. In the first stage, we implemented a simulation-optimization strategy that yields a cost-effective schedule. Next, a mixed-integer programming formulation is used to derive a schedule that is both stable and cost-effective. We report the results of computational experiments that attest to the efficacy of the proposed approach. 2015 Elsevier Inc. All rights reserved.
SponsorThis work was supported by NSTIP Strategic Technologies Program (project number MAT-1491) in the Kingdom of Saudi Arabia.
Languageen
PublisherElsevier
SubjectDiscrete Time/Cost Trade-off Problem
Multi-mode project scheduling
Simulation-optimization
Stochastic project scheduling
TitleA hybrid simulation-optimization approach for the robust Discrete Time/Cost Trade-off Problem
TypeArticle
Pagination628-636
Volume Number259
dc.accessType Abstract Only


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