Production and Inventory Control of Assemble-to-Order Systems

被引:0
|
作者
Saracalioilu, Nisa [1 ]
Sonbahar, Yigit [1 ]
Akdeniz, Guner Asrin [1 ]
Unsal, Meryem [1 ]
Yildiz, Yarkin Yigit [1 ]
Cakmakci, Salih Kaan [1 ]
Bulut, Onder [1 ]
Ozkan, Sinem [1 ]
Hokenek, Ceylin [1 ]
机构
[1] Yasar Univ, Dept Ind Engn, Bornova, Turkey
来源
DIGITIZING PRODUCTION SYSTEMS, ISPR2021 | 2022年
关键词
Assemble-to-order; Simulation optimization; Production-inventory control policy; Rationing policy; Common machine scheduling; POLICY; ALGORITHM;
D O I
10.1007/978-3-030-90421-0_65
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:757 / 771
页数:15
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