Show simple item record

dc.contributor.authorHazır, O.en_US
dc.contributor.authorErel, E.en_US
dc.contributor.authorGünalay, Y.en_US
dc.date.accessioned2015-07-28T12:00:43Z
dc.date.available2015-07-28T12:00:43Z
dc.date.issued2011-03en_US
dc.identifier.issn0925-5273
dc.identifier.urihttp://hdl.handle.net/11693/12238
dc.description.abstractDeveloping 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. & 2010 Elsevier B.V. All rights reserved.en_US
dc.language.isoEnglishen_US
dc.source.titleInternational Journal of Production Economicsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ijpe.2010.11.018en_US
dc.subjectProject schedulingen_US
dc.subjectRobust optimizationen_US
dc.subjectBenders decompositionen_US
dc.subjectTabu searchen_US
dc.titleRobust optimization models for the dicrete time/cost trade-off problemen_US
dc.typeArticleen_US
dc.departmentDepartment of Managementen_US
dc.citation.spage87en_US
dc.citation.epage95en_US
dc.citation.volumeNumber130en_US
dc.citation.issueNumber1en_US
dc.identifier.doi10.1016/j.ijpe.2010.11.018en_US
dc.publisherElsevieren_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record