Production and Inventory Control of Assemble-to-Order Systems

dc.contributor.author Nisa Saracalıoğlu
dc.contributor.author Yiğit Sonbahar
dc.contributor.author Güner Asrın Akdeniz
dc.contributor.author Meryem Ünsal
dc.contributor.author Yarkın Yiğit Yıldız
dc.contributor.author Salih Kaan Çakmakçı
dc.contributor.author Önder Bulut
dc.contributor.author Sinem Özkan
dc.contributor.author Ceylin Hökenek
dc.contributor.editor N.M. Durakbasa , M.G. Gençyılmaz
dc.date.accessioned 2025-10-06T17:50:14Z
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. © 2022 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/978-3-030-90421-0_65
dc.identifier.isbn 9789819650583, 9783031991585, 9783031948886, 9789819667314, 9789811937156, 9783030703318, 9789811622779, 9789811969447, 9789819701056, 9789819748051
dc.identifier.issn 21954364, 21954356
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119880694&doi=10.1007%2F978-3-030-90421-0_65&partnerID=40&md5=586f5091b83df39044eedb6c8135f66d
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8851
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof International Symposium for Production Research ISPR2021
dc.source Lecture Notes in Mechanical Engineering
dc.subject Assemble-to-order, Common Machine Scheduling, Production-inventory Control Policy, Rationing Policy, Simulation Optimization, Inventory Control, Assemble To Order, Common Machine Scheduling, Inventory Control Policies, Machine Scheduling, Ordering System, Production-inventory Control, Production-inventory Control Policy, Rationing Policy, Simulation Model, Simulation Optimization, Genetic Algorithms
dc.subject Inventory control, Assemble to order, Common machine scheduling, Inventory control policies, Machine scheduling, Ordering system, Production-inventory control, Production-inventory control policy, Rationing policy, Simulation model, Simulation optimization, Genetic algorithms
dc.title Production and Inventory Control of Assemble-to-Order Systems
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oaire.citation.endPage 771
oaire.citation.startPage 757
person.identifier.scopus-author-id Saracalıoğlu- Nisa (57352576600), Sonbahar- Yiğit (57351672800), Akdeniz- Güner Asrın (57352576700), Ünsal- Meryem (57351977400), Yıldız- Yarkın Yiğit (57351826700), Çakmakçı- Salih Kaan (57351977500), Bulut- Önder (35168573500), Özkan- Sinem (57214639468), Hökenek- Ceylin (57352422200)
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