Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/66126
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dc.titleScheduling with co-evolving resource availability profiles
dc.contributor.authorChua, D.K.H.
dc.contributor.authorChan, W.T.
dc.contributor.authorKannan, G.
dc.date.accessioned2014-06-17T08:24:31Z
dc.date.available2014-06-17T08:24:31Z
dc.date.issued1996
dc.identifier.citationChua, D.K.H., Chan, W.T., Kannan, G. (1996). Scheduling with co-evolving resource availability profiles. Civil Engineering Systems 13 (4) : 311-329. ScholarBank@NUS Repository.
dc.identifier.issn02630257
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/66126
dc.description.abstractExisting resource allocation models schedule activities by balancing resource requirement with resource availability using the resource available profile as a constraint to guide the scheduling process. The given resource available profile, however, may not be the best configuration for the project. Consequently, the resource available profile may have to be modified to produce improved resource utilization. With each modification the activities have to be rescheduled to meet resource availability constraints. A model is presented herein which is able to generate activity schedules that is optimal with respect to the resource available profile that is configured interactively with the schedule for minimum resource idling. The entire project is subdivided into separate resource contracts. The model then employs genetic algorithm (GA) to determine the start times of the activities and simultaneously self-adjust the resource hiring levels and end-dates for each contract in order to minimize the objective function. Results show that the model can provide schedules and corresponding resource available profiles that yield considerable savings in idle resources even in multi-resource problems. © 1996 OPA (Overseas Publishers Association) Amsterdam B.V. Published in The Netherlands under license by Gordon and Breach Science Publishers SA.
dc.sourceScopus
dc.subjectGenetic algorithm (GA)
dc.subjectProject management
dc.subjectResource allocation
dc.subjectResource hiring
dc.subjectResource scheduling
dc.subjectResource utilization
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.sourcetitleCivil Engineering Systems
dc.description.volume13
dc.description.issue4
dc.description.page311-329
dc.identifier.isiutNOT_IN_WOS
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