생산 라인에서의 실시간 배치 크기 결정Real-Time Batch Size Determination in The Production Line
- Other Titles
- Real-Time Batch Size Determination in The Production Line
- Authors
- 나기현; 김민제; 이종환
- Issue Date
- 2019
- Publisher
- 한국산업경영시스템학회
- Keywords
- CONWIP; Batch Processing; Real Time Batch Size; Production Planning
- Citation
- 한국산업경영시스템학회지, v.42, no.1, pp.55 - 63
- Journal Title
- 한국산업경영시스템학회지
- Volume
- 42
- Number
- 1
- Start Page
- 55
- End Page
- 63
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/262
- DOI
- 10.11627/jkise.2019.42.1.055
- ISSN
- 2005-0461
- Abstract
- This paper develops an algorithm to determine the batch size of the batch process in real time for improving production and efficient control of production system with multiple processes and batch processes. It is so important to find the batch size of the batch process, because the variability arising from the batch process in the production system affects the capacity of the production. Specifically, batch size could change system efficiency such as throughput, WIP (Work In Process) in production system, batch formation time and so on. In order to improve the system variability and productivity, real time batch size determined by considering the preparation time and batch formation time according to the number of operation of the batch process. The purpose of the study is to control the WIP by applying CONWIP production system method in the production line and implements an algorithm for a real time batch size decision in a batch process that requires long work preparation time and affects system efficiency. In order to verify the efficiency of the developed algorithm that determine the batch size in a real time, an existed production system with fixed the batch size will be implemented first and determines that batch size in real time considering WIP in queue and average lead time in the current system. To comparing the efficiency of a system with a fixed batch size and a system that determines a batch size in real time, the results are analyzed using three evaluation indexes of lead time, throughput, and average WIP of the queue.
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Collections - School of Industrial Engineering > 1. Journal Articles
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