Production and Inventory Control of Assemble-to-Order Systems
Loading...
Date
2022
Authors
Nisa Saracalioilu
Yigit Sonbahar
Guner Asrin Akdeniz
Meryem Unsal
Yarkin Yigit Yildiz
Salih Kaan Cakmakci
Onder Bulut
Sinem Ozkan
Ceylin Hokenek
Journal Title
Journal ISSN
Volume Title
Publisher
SPRINGER-VERLAG SINGAPORE PTE LTD
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Average
Influence
Average
Popularity
Average
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.
Description
Keywords
Assemble-to-order, Simulation optimization, Production-inventory control policy, Rationing policy, Common machine scheduling, POLICY, ALGORITHM, Simulation Optimization, Assemble-to-order, Production-Inventory Control Policy, Common Machine Scheduling, Rationing Policy
Fields of Science
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
1
Source
21st International Symposium on Production Research (ISPR) - Digitizing Production System
Volume
Issue
Start Page
757
End Page
771
PlumX Metrics
Citations
Scopus : 1
Captures
Mendeley Readers : 4
SCOPUS™ Citations
1
checked on Apr 09, 2026
Google Scholar™
