Modeling and solving assembly line worker assignment and balancing problem with sequence-dependent setup times

MakaleAçık ErişimScopus SJRQ2

Özet

Assembly lines appear with various differentiations in order to better include the disabled in the labor market and to increase production efficiency. In this way, the optimal workforce assignment problem that emerges heterogeneously is called assembly line worker assignment and balancing problem (ALWABP). This paper addresses the ALWABP where the simple version is enriched by considering sequence-dependent setup times between tasks. A mixed integer linear programming model is presented, and a simulated annealing algorithm is developed such as an NP-hard problem. In order to test the proposed solutions, 640 benchmark problems in the literature were combined and used. The solutions obtained through using the proposed algorithm are compared with the mixed integer programming model on the small-size test problems. Experimental results show that the proposed algorithm is more effective and robust for a large set of benchmark problems.

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https://rdlopen.rawdatalibrary.net/r/bayburt/13560Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1007/s00500-021-06107-3Yayıncı resmi DOI adresi
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14
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12
OpenAlex
16
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dc.contributor.authorYilmaz, Hamid
dc.date.accessioned2026-10-29T19:11:08.915020682Z
dc.date.available2026-10-29T19:11:08.915020682Z
dc.date.issued2021
dc.description.abstractAssembly lines appear with various differentiations in order to better include the disabled in the labor market and to increase production efficiency. In this way, the optimal workforce assignment problem that emerges heterogeneously is called assembly line worker assignment and balancing problem (ALWABP). This paper addresses the ALWABP where the simple version is enriched by considering sequence-dependent setup times between tasks. A mixed integer linear programming model is presented, and a simulated annealing algorithm is developed such as an NP-hard problem. In order to test the proposed solutions, 640 benchmark problems in the literature were combined and used. The solutions obtained through using the proposed algorithm are compared with the mixed integer programming model on the small-size test problems. Experimental results show that the proposed algorithm is more effective and robust for a large set of benchmark problems.
dc.identifier.doi10.1007/s00500-021-06107-3
dc.identifier.eissn1433-7479
dc.identifier.endpage12914
dc.identifier.issn1432-7643
dc.identifier.issue20
dc.identifier.scopus2-s2.0-85112353650
dc.identifier.startpage12899
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/13560
dc.identifier.volume25
dc.identifier.wosWOS:000684522700003
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofSoft Computing
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAssembly line balancing
dc.subjectMixed integer linear programming
dc.subjectSequence-dependent setup times
dc.subjectSimulated annealing
dc.subject.classificationComputer Science, Artificial Intelligence
dc.subject.classificationComputer Science, Interdisciplinary Applications
dc.subject.classificationComputer Science
dc.subject.otherAssembly
dc.subject.otherAssembly machines
dc.subject.otherBenchmarking
dc.subject.otherCombinatorial optimization
dc.subject.otherNP-hard
dc.subject.otherSimulated annealing
dc.subject.otherAssembly-line workers
dc.subject.otherAssignment problems
dc.subject.otherBench-mark problems
dc.subject.otherIncrease productions
dc.subject.otherMixed integer linear programming model
dc.subject.otherMixed integer programming model
dc.subject.otherSequence-dependent setup time
dc.subject.otherSimulated annealing algorithms
dc.subject.otherInteger programming
dc.titleModeling and solving assembly line worker assignment and balancing problem with sequence-dependent setup times
dc.typeArticle
rdl.citation.openalex16
rdl.citation.scopus14
rdl.citation.wos12
rdl.oa.statusgreen
rdl.oa.urlhttps://www.researchsquare.com/article/rs-539741/latest.pdf
rdl.scopus.quartileQ2
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)