Production and Inventory Control of Assemble-to-Order Systems

dc.contributor.author Nisa Saracalioilu
dc.contributor.author Yigit Sonbahar
dc.contributor.author Guner Asrin Akdeniz
dc.contributor.author Meryem Unsal
dc.contributor.author Yarkin Yigit Yildiz
dc.contributor.author Salih Kaan Cakmakci
dc.contributor.author Onder Bulut
dc.contributor.author Sinem Ozkan
dc.contributor.author Ceylin Hokenek
dc.contributor.author Yildiz, Yarkin Yigit
dc.contributor.author Akdeniz, Guner Asrin
dc.contributor.author Hokenek, Ceylin
dc.contributor.author Unsal, Meryem
dc.contributor.author Saracalıoğlu, Nisa
dc.contributor.author Cakmakci, Salih Kaan
dc.contributor.author Saracalioilu, Nisa
dc.contributor.author Sonbahar, Yigit
dc.contributor.editor NM Durakbasa
dc.contributor.editor MG Gencyilmaz
dc.coverage.spatial ELECTR NETWORK
dc.date.accessioned 2025-10-06T16:20:17Z
dc.date.issued 2022
dc.description.abstract In this study we consider an Assemble-to-Order (ATO) system with multiple components common machines and multiple customer classes. We first identify the research problems related to all the above-mentioned system features. Thereafter as the solution methodology we propose different policies for the described problems. We develop a simulation model of the system and benefit from Genetic Algorithm (GA) metaheuristic that finds near-optimal solutions for inventory control and rationing policies. The simulation model of a quite general ATO system that is integrated with a Genetic algorithm provides solutions for several real-life ATO practices.
dc.identifier.doi 10.1007/978-3-030-90421-0_65
dc.identifier.isbn 978-3-030-90421-0, 978-3-030-90420-3
dc.identifier.isbn 9783030904210
dc.identifier.isbn 9783030904203
dc.identifier.issn 2195-4356
dc.identifier.issn 2195-4364
dc.identifier.scopus 2-s2.0-85119880694
dc.identifier.uri http://dx.doi.org/10.1007/978-3-030-90421-0_65
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6303
dc.identifier.uri https://doi.org/10.1007/978-3-030-90421-0_65
dc.language.iso English
dc.publisher SPRINGER-VERLAG SINGAPORE PTE LTD
dc.relation.ispartof 21st International Symposium on Production Research (ISPR) - Digitizing Production System
dc.relation.ispartofseries Lecture Notes in Mechanical Engineering
dc.rights info:eu-repo/semantics/closedAccess
dc.source DIGITIZING PRODUCTION SYSTEMS ISPR2021
dc.subject Assemble-to-order, Simulation optimization, Production-inventory control policy, Rationing policy, Common machine scheduling
dc.subject POLICY, ALGORITHM
dc.subject Simulation Optimization
dc.subject Assemble-to-order
dc.subject Production-Inventory Control Policy
dc.subject Common Machine Scheduling
dc.subject Rationing Policy
dc.title Production and Inventory Control of Assemble-to-Order Systems
dc.type Conference Object
dspace.entity.type Publication
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gdc.author.wosid Ozkan, Sinem/HTO-8574-2023
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gdc.description.departmenttemp [Saracalioilu, Nisa; Sonbahar, Yigit; Akdeniz, Guner Asrin; Unsal, Meryem; Yildiz, Yarkin Yigit; Cakmakci, Salih Kaan; Bulut, Onder; Ozkan, Sinem; Hokenek, Ceylin] Yasar Univ, Dept Ind Engn, Bornova, Turkey
gdc.description.endpage 771
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 757
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
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