A DSS for Competency-Based Workforce Scheduling for Multi-production Lines

dc.contributor.author Ziya Arsan
dc.contributor.author Bilge Bayrak
dc.contributor.author Selin Kader
dc.contributor.author Bilge Özen
dc.contributor.author Mert Turan Sarıca
dc.contributor.author Batuhan Türkan
dc.contributor.author Ege Duran
dc.contributor.author Levent Kandiller
dc.contributor.author Bayrak, Bilge
dc.contributor.author Özen, Bilge
dc.contributor.author Sarıca, Mert Turan
dc.contributor.author Kader, Selin
dc.contributor.author Arsan, Ziya
dc.contributor.author Kandiller, Levent
dc.contributor.author Türkan, Batuhan
dc.contributor.editor N.M. Durakbasa , M.G. Gençyılmaz
dc.date.accessioned 2025-10-06T17:49:44Z
dc.date.issued 2023
dc.description.abstract Today effective workforce scheduling is crucial for companies. This paper presents a workforce scheduling problem for multiple production lines. This study aims to develop an efficient and methodological shift scheduling algorithm for a heating device plant to reduce unnecessary overtime and improve quality and performance. The workers are assigned to the stations based on their qualification rates and a line balancing option is provided if required. After linearizing the non-linear objective function using an innovative approach the mathematical model is developed and solved by OPL CPLEX STUDIO IDE 12.10.0. With toy and original data. The mathematical model is verified and validated and the results provide the optimal assignment of the workers to maximize the quality of lines. Since the company cannot use CPLEX due to license restrictions the mathematical model is integrated into the Python program using the Pulp library to provide a solver option to the company. Moreover the Hungarian method is coded in Python to create an instant solution. Since the company prefers to assign the workers manually a greedy method is developed to improve the manual solution. Finally a user-friendly Decision Support System is designed to support the decision-making processes. © 2023 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/978-3-031-24457-5_53
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-s2.0-85151130778
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151130778&doi=10.1007%2F978-3-031-24457-5_53&partnerID=40&md5=658d4cc5af1871e0539bafff43031f5e
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8571
dc.identifier.uri https://doi.org/10.1007/978-3-031-24457-5_53
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 Assignment Problem, Decision Support System, Multiple Production Lines, Qualification Based Assignments, Workforce Scheduling Problem, Artificial Intelligence, Combinatorial Optimization, Computer Software, Decision Making, Decision Support Systems, High Level Languages, Personnel, Scheduling Algorithms, Toys, Assignment Problems, Heating Devices, Multi-production Lines, Multiple Production Lines, Qualification Based Assignment, Scheduling Problem, Shift Scheduling, Workers', Workforce Scheduling, Workforce Scheduling Problem, Python, Artificial Intelligence, Decision Making, Hungarian, Production, Quality, Scheduling
dc.subject Artificial intelligence, Combinatorial optimization, Computer software, Decision making, Decision support systems, High level languages, Personnel, Scheduling algorithms, Toys, Assignment problems, Heating devices, Multi-production lines, Multiple production lines, Qualification based assignment, Scheduling problem, Shift scheduling, Workers', Workforce scheduling, Workforce scheduling problem, Python, Artificial Intelligence, Decision Making, Hungarian, Production, Quality, Scheduling
dc.subject Assignment Problem
dc.subject Multiple Production Lines
dc.subject Qualification Based Assignments
dc.subject Workforce Scheduling Problem
dc.subject Decision Support System
dc.title A DSS for Competency-Based Workforce Scheduling for Multi-production Lines
dc.type Conference Object
dspace.entity.type Publication
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gdc.description.departmenttemp [Arsan Z.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Bayrak B.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Kader S.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Özen B.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Sarıca M.T.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Türkan B.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Duran E.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey; [Kandiller L.] Department of Industrial Engineering, Yaşar University, Izmir, Turkey
gdc.description.endpage 685
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 675
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gdc.virtual.author Kandiller, Levent
oaire.citation.endPage 685
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person.identifier.scopus-author-id Arsan- Ziya (58162532900), Bayrak- Bilge (58162936000), Kader- Selin (58162668500), Özen- Bilge (58162533000), Sarıca- Mert Turan (58162668600), Türkan- Batuhan (58163199800), Duran- Ege (57212214171), Kandiller- Levent (6506822666)
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