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

页码：757 / 771

页数：15

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