Production Scheduling at a Powder Coating Company

dc.contributor.author Değer Demir
dc.contributor.author Ecem Ademoğlu
dc.contributor.author Gülce Gülen
dc.contributor.author Kerem Can Deliktaş
dc.contributor.author Mert Yandımata
dc.contributor.author Saadet Gül
dc.contributor.author Serdar Can Ertem
dc.contributor.author Önder Bulut
dc.contributor.author Sinem Özkan
dc.contributor.author Demir, Değer
dc.contributor.author Gülen, Gülce
dc.contributor.author Deliktaş, Kerem Can
dc.contributor.author Gül, Saadet
dc.contributor.author Ademoğlu, Ecem
dc.contributor.author Yandımata, Mert
dc.contributor.author Özkan, Sinem
dc.contributor.editor N.M. Durakbasa , M.G. Gençyılmaz
dc.date.accessioned 2025-10-06T17:50:46Z
dc.date.issued 2021
dc.description.abstract In this study we consider parallel machine production scheduling problem of a Powder Coating company. A mathematical model with firm-specific constraints such as order splitting and machine availability is developed. The objective is to minimize the total weighted completion time of jobs. We propose two heuristic solution algorithms: A Genetic Algorithm and a Rule-Based Algorithm. For smaller instances each algorithm is compared with the optimum. On the other hand for larger instances we compare the performances of the proposed algorithms with each other. Furthermore we develop a simulation model to test the performances of the solutions determined by deterministic algorithms under randomness in setup times quality control times and downtimes. © 2020 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/978-3-030-62784-3_82
dc.identifier.isbn 9789819650583, 9783031991585, 9783031948886, 9789819667314, 9789811937156, 9783030703318, 9789811622779, 9789811969447, 9789819701056, 9789819748051
dc.identifier.isbn 9783030627836
dc.identifier.issn 21954364, 21954356
dc.identifier.issn 2195-4356
dc.identifier.scopus 2-s2.0-85096479655
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096479655&doi=10.1007%2F978-3-030-62784-3_82&partnerID=40&md5=f9ba5095bb3a1f2ba21b3423e1376891
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9109
dc.identifier.uri https://doi.org/10.1007/978-3-030-62784-3_82
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof International Symposium for Production Research ISPR 2020
dc.rights info:eu-repo/semantics/closedAccess
dc.source Lecture Notes in Mechanical Engineering
dc.subject Genetic Algorithm, Heuristics, Machine Availability, Order Splitting, Rule Based Algorithm, Scheduling
dc.subject Genetic Algorithm
dc.subject Scheduling
dc.subject Heuristics
dc.subject Rule Based Algorithm
dc.subject Machine Availability
dc.subject Order Splitting
dc.title Production Scheduling at a Powder Coating Company
dc.type Conference Object
dspace.entity.type Publication
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gdc.description.departmenttemp [Demir D.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey; [Ademoğlu E.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey; [Gülen G.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey; [Deliktaş K.C.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey; [Yandımata M.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey; [Gül S.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey; [Ertem S.C.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey; [Bulut Ö.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey; [Özkan S.] Department of Industrial Engineering, Yaşar University, İzmir, Turkey
gdc.description.endpage 1001
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 989
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person.identifier.scopus-author-id Demir- Değer (57220007873), Ademoğlu- Ecem (57220003616), Gülen- Gülce (57220004948), Deliktaş- Kerem Can (57220011943), Yandımata- Mert (57220006454), Gül- Saadet (57220009447), Ertem- Serdar Can (57220007541), Bulut- Önder (35168573500), Özkan- Sinem (57214639468)
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