Publication:
Cyclic scheduling in flow lines: modeling observations, effective heuristics and a cycle time minimization procedure

dc.contributor.coauthorKouvelis, Panagiotis
dc.contributor.departmentDepartment of Business Administration
dc.contributor.kuauthorKarabatı, Selçuk
dc.contributor.schoolcollegeinstituteCollege of Administrative Sciences and Economics
dc.date.accessioned2024-11-10T00:07:38Z
dc.date.issued1996
dc.description.abstractIn this paper we address the cyclic scheduling problem in flow lines. We develop a modeling framework and an integer programming formulation of the problem. We subsequently present exact and approximate solution procedures. The exact solution procedure is a branch-and-bound algorithm which uses Lagrangian and station-based relaxations of the integer programming formulation of the problem as the lower bounding method. Our heuristic procedures show a performance superior to the available ones in the literature. Finally, we address the stability issue in cyclic scheduling, demonstrate its relationship to the work-in-progress inventory control of a flow line, and present a very simple procedure to generate stable schedules in flow lines
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.issue2
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume43
dc.identifier.doi10.1002/(SICI)1520-6750(199603)43:2<211
dc.identifier.issn0894-069X
dc.identifier.quartileQ4
dc.identifier.scopus2-s2.0-0000757511
dc.identifier.urihttps://doi.org/10.1002/(SICI)1520-6750(199603)43:2<211
dc.identifier.urihttps://hdl.handle.net/20.500.14288/16821
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofNaval Research Logistics
dc.subjectBusiness administration
dc.titleCyclic scheduling in flow lines: modeling observations, effective heuristics and a cycle time minimization procedure
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorKarabatı, Selçuk
local.publication.orgunit1College of Administrative Sciences and Economics
local.publication.orgunit2Department of Business Administration
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relation.isParentOrgUnitOfPublication.latestForDiscovery972aa199-81e2-499f-908e-6fa3deca434a

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