Bicriteria optimization of schedules on one and two machines

dc.contributor.authorHariharan, Remaen
dc.contributor.departmentIndustrial Engineering and Operations Researchen
dc.date.accessioned2017-11-09T20:41:31Zen
dc.date.available2017-11-09T20:41:31Zen
dc.date.issued1988en
dc.description.abstractThe practical applications of scheduling generally involve the optimization of more than one criterion. This thesis focuses on the bicriteria optimization problem of scheduling jobs on single and two machines. The optimization criteria that are considered are those of minimization of maximum tardiness and minimization of the total number of tardy jobs in the schedule. The former is considered as the primary criterion while the latter is considered as the secondary criterion. For the single machine problem, a search tree method is presented which is based on the implementation of some new dominance rules. Computational results presented show that the performance of this algorithm is better than that of an earlier work reported in the literature. For the two machine problem, a heuristic algorithm is developed to minimize maximum tardiness. Computational results are presented regarding the performance of this heuristic. A search tree method is developed for the optimization of the secondary criterion. This search tree method is similar to that for the single machine problem except that it does not use the dominance rules that were developed for the single machine case. Computational experience is presented for this algorithm.en
dc.description.degreeMaster of Scienceen
dc.format.extentvii, 94 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/80042en
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 19830818en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1988.H374en
dc.subject.lcshProduction schedulingen
dc.titleBicriteria optimization of schedules on one and two machinesen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineIndustrial Engineering and Operations Researchen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen
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