Job Scheduling Problem in the Production of Electrical Equipment

dc.contributor.author Aybüke Aldemir
dc.contributor.author Batuhan Pancarcı
dc.contributor.author Buse Eylül Oral
dc.contributor.author Helin Şahin
dc.contributor.author İbrahim Onur Çakır
dc.contributor.author Zülfinaz Şahbaz
dc.contributor.author Adalet Oner
dc.contributor.author Gamze Erdem
dc.contributor.author Çağlar Çakır
dc.contributor.author Şahin, Helin
dc.contributor.author Oral, Buse Eylül
dc.contributor.author Çakır, İbrahim Onur
dc.contributor.author Aldemir, Aybüke
dc.contributor.author Şahbaz, Zülfinaz
dc.contributor.author Pancarcı, Batuhan
dc.contributor.author Çakır, Çağlar
dc.contributor.editor N.M. Durakbasa , M.G. Gençyılmaz
dc.date.accessioned 2025-10-06T17:49:44Z
dc.date.issued 2023
dc.description.abstract In this paper a real-life parallel machine scheduling problem with sequence-dependent setup times of an industrial-type electrical equipment manufacturing company is addressed. The objective of this study is to find a solution method to achieve an effective and systematic schedule that minimizes the total weighted tardiness in the system by considering some properties related to the jobs and machines. These properties are the priority rank of jobs sequence-dependent setup times between jobs machine eligibility and machine availability. Initially a mathematical model is proposed for the problem. The solving performance of the proposed model by LINGO is tested with randomly generated toy problems. Since the problem has NP-hard characteristics heuristic algorithms based on the EDD rule and GTW algorithm are developed to obtain optimal or near-optimal schedules in an acceptable period of time. The success of the algorithms is tested through generated toy problems. It is observed that the combination of Modified EDD and HENOBA algorithms gives optimal or near-optimal solutions. Lastly an efficient and user-friendly decision support system (DSS) is created. © 2024 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_65
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-s2.0-85151118983
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151118983&doi=10.1007%2F978-3-031-24457-5_65&partnerID=40&md5=4f85ac4d4b753fa0c591792c576b7e88
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8575
dc.identifier.uri https://doi.org/10.1007/978-3-031-24457-5_65
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 Gtw Algorithm, Heuristic Methods, Job Scheduling, Mathematical Models, Parallel Machines, Artificial Intelligence, Decision Support Systems, Heuristic Algorithms, Job Shop Scheduling, Toys, Electrical Equipment, Equipment Manufacturing, Gtw Algorithm, Job Scheduling Problem, Jobs Scheduling, Manufacturing Companies, Parallel Machine, Parallel Machine-scheduling Problems, Property, Sequence-dependent Setup Time, Heuristic Methods
dc.subject Artificial intelligence, Decision support systems, Heuristic algorithms, Job shop scheduling, Toys, Electrical equipment, Equipment manufacturing, GTW algorithm, Job scheduling problem, Jobs scheduling, Manufacturing companies, Parallel machine, Parallel machine-scheduling problems, Property, Sequence-dependent setup time, Heuristic methods
dc.subject Heuristic Methods
dc.subject GTW Algorithm
dc.subject Parallel Machines
dc.subject Job Scheduling
dc.subject Mathematical Models
dc.title Job Scheduling Problem in the Production of Electrical Equipment
dc.type Conference Object
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gdc.description.departmenttemp [Aldemir A.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Pancarcı B.] TP Elektrik Malzemeleri San. ve Tic. A.Ş., Kemalpaşa, Turkey; [Oral B.E.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Şahin H.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Çakır İ.O.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Şahbaz Z.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Öner A.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Erdem G.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Çakır Ç.] Department of Industrial Engineering, Yasar University, Bornova, Turkey
gdc.description.endpage 830
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 818
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person.identifier.scopus-author-id Aldemir- Aybüke (58162760100), Pancarcı- Batuhan (58162892800), Oral- Buse Eylül (58162621400), Şahin- Helin (58162488000), Çakır- İbrahim Onur (58162760200), Şahbaz- Zülfinaz (58162352200), Oner- Adalet (48361901600), Erdem- Gamze (57822095100), Çakır- Çağlar (58162892900)
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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