A Genetic Algorithm for a Real-Life Scheduling Problem in the Valve Industry

dc.contributor.author Gamze Esma Bektaş
dc.contributor.author Ege Cömert
dc.contributor.author Ezgi Sena Yılmaz
dc.contributor.author Melis Tan Tacoglu
dc.contributor.author Önder Bulut
dc.contributor.author Burçin Kasap
dc.contributor.author Pınar Aydın
dc.contributor.author Mustafa İnceoğlu
dc.contributor.author Eda Badak
dc.contributor.author Hasan Şenol
dc.contributor.author Yılmaz, Ezgi Sena
dc.contributor.author Taçoğlu, Melis
dc.contributor.author Bulut, Önder
dc.contributor.author Bektaş, Gamze Esma
dc.contributor.author Cömert, Ege
dc.contributor.author Kasap, Burçin
dc.contributor.author Özcureci, Kaan
dc.contributor.editor N.M. Durakbasa , M.G. Gençyılmaz
dc.date.accessioned 2025-10-06T17:49:43Z
dc.date.issued 2023
dc.description.abstract In this paper a real-life flexible job shop scheduling problem (FJSSP) for valve production having sequence-dependent setup times and machine unavailability constraints is studied. The aim is to minimize the weighted sum of earliness and tardiness of the scheduled jobs. Since this problem is known to be in the NP-Hard class we develop a Genetic Algorithm (GA) enriched with Iterated Local Search (ILS) to obtain near-optimal solutions for both the company’s problem and also for much larger instances in a reasonable run time. For the real-life implementation we develop a user-friendly Decision Support System (DSS) consisting of databases for the inputs a GA algorithm embedded as Python code and a Gantt Chart representation of solutions as the output. © 2023 Elsevier B.V. All rights reserved.
dc.description.sponsorship Acknowledgment. This study is supported in the program “2209-B - Industry Oriented Research Project Support Programme for Undergraduate Students” by The Scientific and Technological Research Council of Turkey (TUBITAK).
dc.description.sponsorship Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK
dc.identifier.doi 10.1007/978-3-031-24457-5_55
dc.identifier.isbn 9789819650583, 9783031991585, 9783031948886, 9789819667314, 9789811937156, 9783030703318, 9789811622779, 9789811969447, 9789819701056, 9789819748051
dc.identifier.isbn 9783031244568
dc.identifier.issn 21954364, 21954356
dc.identifier.issn 2195-4356
dc.identifier.scopus 2-s2.0-85151152190
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151152190&doi=10.1007%2F978-3-031-24457-5_55&partnerID=40&md5=8fffe86c75c5464c968bed5a8045fa29
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8562
dc.identifier.uri https://doi.org/10.1007/978-3-031-24457-5_55
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof 22nd International Symposium for Production Research ISPR 2022
dc.rights info:eu-repo/semantics/closedAccess
dc.source Lecture Notes in Mechanical Engineering
dc.subject Decision Support System, Flexible Job Shop Problem, Genetic Algorithm, Iterative Local Search, Machine Unavailability, Sequence-dependent Setup Times, Weighted Earliness And Tardiness, Artificial Intelligence, Decision Support Systems, Iterative Methods, Job Shop Scheduling, Local Search (optimization), Earliness And Tardiness, Flexible Job-shop Problem, Flexible Job-shop Scheduling Problem, Iterative Local Searches, Machine Unavailability, Scheduling Problem, Sequence-dependent Setup Time, Unavailability Constraint, Weighted Earliness And Tardiness, Weighted Sum, Genetic Algorithms
dc.subject Artificial intelligence, Decision support systems, Iterative methods, Job shop scheduling, Local search (optimization), Earliness and tardiness, Flexible job-shop problem, Flexible job-shop scheduling problem, Iterative local searches, Machine unavailability, Scheduling problem, Sequence-dependent setup time, Unavailability constraint, Weighted earliness and tardiness, Weighted Sum, Genetic algorithms
dc.subject Genetic Algorithm
dc.subject Decision Support System
dc.subject Machine Unavailability
dc.subject Flexible Job Shop Problem
dc.subject Weighted Earliness and Tardiness
dc.subject Iterative Local Search
dc.subject Sequence-Dependent Setup Times
dc.title A Genetic Algorithm for a Real-Life Scheduling Problem in the Valve Industry
dc.type Conference Object
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gdc.description.departmenttemp [Bektaş G.E.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Cömert E.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Yılmaz E.S.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Taçoğlu M.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Bulut Ö.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Kasap B.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Aydın P.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [İnceoğlu M.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Badak E.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Şenol H.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Özcureci K.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey
gdc.description.endpage 710
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 697
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gdc.virtual.author Bulut, Önder
gdc.virtual.author Bektaş, Gamze Esma
gdc.virtual.author Tan Taçoğlu, Melis
oaire.citation.endPage 710
oaire.citation.startPage 697
person.identifier.scopus-author-id Bektaş- Gamze Esma (58162493700), Cömert- Ege (58162626700), Yılmaz- Ezgi Sena (58162493800), Tacoglu- Melis Tan (58162897600), Bulut- Önder (35168573500), Kasap- Burçin (58162219000), Aydın- Pınar (58162624000), İnceoğlu- Mustafa (59186386900), Badak- Eda (58162626800), Şenol- Hasan (58162897700)
project.funder.name Acknowledgment. This study is supported in the program “2209-B - Industry Oriented Research Project Support Programme for Undergraduate Students” by The Scientific and Technological Research Council of Turkey (TUBITAK).
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