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A fast algorithm to minimize maximum lateness for the two-machine flow-shop problem

dc.contributor.authorCheng, Jinliangen_US
dc.contributor.authorStephenson, Paul A.en_US
dc.contributor.authorSteiner, Georgeen_US
dc.contributor.authorMcMaster University, Michael G. DeGroote School of Businessen_US
dc.date.accessioned2014-06-17T20:36:26Z
dc.date.available2014-06-17T20:36:26Z
dc.date.created2013-12-23en_US
dc.date.issued1999-06en_US
dc.description<p>28 leaves : ; Includes bibliographical references (leaf 28). ; "June, 1999".</p> <p>This research was supported in part by the Natural Sciences and Engineering Research Council of Canada, under Grant No. OGPOOOl 798.</p>en_US
dc.description.abstract<p>We consider the two-machine flow-shop problem with release times where the objective is to minimize the maximum lateness. We derive a new dominance order and incorporate it into an efficient branch and bound algorithm which uses an adaptive branching scheme together with new fuzzy dominance properties for scheduling and searching. The algorithm performed very well. It solved within a few seconds more than 973 of the test problems with up to 200 jobs in a large-scale computational experiment. For the unsolved problems, the average gap between the best solution found and the optimum was less than 0.53.</p>en_US
dc.identifier.otherdsb/27en_US
dc.identifier.other1026en_US
dc.identifier.other4944047en_US
dc.identifier.urihttp://hdl.handle.net/11375/5566
dc.relation.ispartofseriesResearch and working paper series (Michael G. DeGroote School of Business)en_US
dc.relation.ispartofseriesno. 439en_US
dc.subjectSchedulingen_US
dc.subjectPermutation flow shopen_US
dc.subjectLatenessen_US
dc.subjectRelease timesen_US
dc.subjectDominance ordersen_US
dc.subjectAlgorithmen_US
dc.subjectBusinessen_US
dc.subjectBusinessen_US
dc.subject.lccProduction scheduling Production control Branch and bound algorithmsen_US
dc.titleA fast algorithm to minimize maximum lateness for the two-machine flow-shop problemen_US
dc.typearticleen_US

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