이산사건 시뮬레이션 시스템을 활용한 생산성 개선 사례 연구
A Case Study on Productivity Improvement by a Discrete Event-Driven Simulation System
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초록
Up-to-date manufacturing companies have faced a market-driven environment of pull production order. There should be a difference in operating manufacturing resources according to the type, quantity, and delivery time of manufactured products, because the process situation in pull production is changed by customer orders. And it should be taken into account from the stage of preparing for production such as process design and the placement and utilization of manufacturing resources. However, the feasibility of production plans is limited because most of small manufacturing businesses make production/supply plan of the parts and products assuming that equipment abilities in scheduling is sufficient without managing process standard information systemically. In this study, a discrete event simulation system based on BOM (bill of material), that is F-OPIS (online productivity innovation system), is introduced and a case study on application of the system leading to improving productivities is presented. F-OPIS deals with a decision-problem on production management and it is specialized for small-and- medium sized manufacturing companies. The target company of this case study is a typical small-and-medium sized manufacturing company in Korea, that produces various machined parts. The target company adopts make-to-stock production management to prevent tardy delivery because of fluctuations in demand. Therefore, it is required to apply an efficient inventory control solution for improving productivities. In this paper, based on the constraints of working capacity of manufacturing resources, the bottleneck process is analyzed as production conditions are changed. Consequently, an improvement plan is proposed, that eventually enhances overall utilization rates of resources in the bottleneck process and reduces overall production lead-time and inventory level.
Abstract
Up-to-date manufacturing companies have faced a market-driven environment of pull production order. There should be a difference in operating manufacturing resources according to the type, quantity, and delivery time of manufactured products, because the process situation in pull production is changed by customer orders. And it should be taken into account from the stage of preparing for production such as process design and the placement and utilization of manufacturing resources. However, the feasibility of production plans is limited because most of small manufacturing businesses make production/supply plan of the parts and products assuming that equipment abilities in scheduling is sufficient without managing process standard information systemically. In this study, a discrete event simulation system based on BOM (bill of material), that is F-OPIS (online productivity innovation system), is introduced and a case study on application of the system leading to improving productivities is presented. F-OPIS deals with a decision-problem on production management and it is specialized for small-and- medium sized manufacturing companies. The target company of this case study is a typical small-and-medium sized manufacturing company in Korea, that produces various machined parts. The target company adopts make-to-stock production management to prevent tardy delivery because of fluctuations in demand. Therefore, it is required to apply an efficient inventory control solution for improving productivities. In this paper, based on the constraints of working capacity of manufacturing resources, the bottleneck process is analyzed as production conditions are changed. Consequently, an improvement plan is proposed, that eventually enhances overall utilization rates of resources in the bottleneck process and reduces overall production lead-time and inventory level.
참고문헌 (27)
- 채종인, "시뮬레이션 모델을 이용한 K회사 반도체 패키지 공정의 생산량 증가를 위한 연구", 한국시뮬레이션학회 논문지, 19(1), pp.1~11 (2010), 한국시뮬레이션학회
- Chan, F. T. S., "Increase in flexibility : productive or counterproductive? A study on the physical and operating characteristics of a flexible manufacturing system", International Journal of Production Research, 44(7), pp.1431~1445 (2006)
- 최광석, "시뮬레이션 기법을 활용한 중소기업 생산성 향상 방안", 산업경제연구, 24(4), pp.1969~1987 (2011), 한국산업경제학회
- 최민철, "열처리 공정의 생산스케줄 수립과 적용에 관한 연구", 경영과학, 29(2), pp.143~155 (2012), 한국경영과학회[DOI]
- Herrmann, C., "Energy oriented simulation of manufacturing systems-Concept and application", CIRP Annals-Manufacturing Technology, 60(1), pp.45~48 (2011)
- Jeong, Y. S., "A Manufacturing Line Optimization for Discrete Event Simulation and Genetic Algorithm", Transaction of the Society of CAD, 2008, pp.13(1), 67~75
- Jung, B.J., "Capacity Planning and Control of Probe Process in Semiconductor Manufacturing", IE interfaces, 10(3), pp.15~22 (1997)
- 강태경, "The Effect of Multiple Value Frames of IT Productivity on Business Performance", 품질경영학회지, 31(4), pp.203~218 (2003), 한국품질경영학회
- 김도균, "시뮬레이션 기반 수도권 리사이클링 센터 폐냉장고 전처리 공정 개선", 한국시뮬레이션학회 논문지, 22(4), pp.129~138 (2013), 한국시뮬레이션학회
- 김동수, "반도체부품 생산공정 자원의 부하 측정방법 비교분석 사례연구", 한국시뮬레이션학회 논문지, 20(3), pp.49~58 (2011), 한국시뮬레이션학회
- "Kitech OPIS_SIMULATION_FRAMEWORK. C-2012-006817", ~ (2012)
- "Kitech, OPIS_SIMULATION_ENGINE. C-2012-006816", ~ (2012)
- 권치명, "생산 활동기간 기반 애로공정의 발견", 한국시뮬레이션학회 논문지, 22(3), pp.35~41 (2013), 한국시뮬레이션학회
- Lee, B. K., "Variation Stack-Up Analysis Using Monte Carlo Simulation for Manufacturing Process Control and Specification", Journal of the Korean Society for Quality Management, 22(4), pp.79~101 (1994)
- 배상윤, "Job Shop 일정계획의 성능 향상을 위한 할당규칙의 정보", 산업경영시스템학회지, 29(4), pp.107~112 (2006), 한국산업경영시스템학회
- Lee, J. Y., "A Study on Lead-time Reduction Based on Advanced Planning and Scheduling(APS) System", Master, pp.2015
- 이경근, "시뮬레이션을 이용한 중소 신발생산기업의 생산시스템 개선방안 연구", 산업공학(IE interfaces), 18(1), pp.4~4 (2005), 대한산업공학회
- 이성주, "산업생태계 분석을 통한 중소기업형 유망 IT 품목 발굴 : 수요기반 접근법", 대한산업공학회지, 39(1), pp.61~72 (2013), 대한산업공학회[DOI]
- 임광혁, "다품종 소량생산 공정을 위한 규칙기반 공정관리 시스템", 한국산업정보학회논문지, 15(1), pp.47~57 (2010), 한국산업정보학회
- Rosen, S. L., "A simulation optimization method that considers uncertainty and multiple performance measures", European Journal of Operational Research, 181(1), pp.315~330 (2007)
- Shin, M. S., "ISC process management simulation" (2014), Korea Association of Machinery Industry
- Singholi, A., "Impact of manufacturing flexibility on FMS performance : a simulation study", International Journal of Industrial and Systems Engineering, 10(1), pp.96~116 (2011)
- 손미애, "RFID를 이용한 공정개선 방안-중소기업의 포장공정 사례 중심", 한국시뮬레이션학회 논문지, 16(4), pp.67~75 (2007), 한국시뮬레이션학회
- 송민기, "반도체 생산 성능 향상 및 다양한 이송패턴을 수행할 수 있는 범용 스케줄러 알고리즘에 관한 연구", 한국시뮬레이션학회 논문지, 19(4), pp.99~109 (2010), 한국시뮬레이션학회
- 송영주, "흐름생산 공정에서의 작업 대기시간을 고려한 공정 개선 상한선 도출: H 사의 공정 개선 계획안 시뮬레이션 사례를 중심으로", 한국시뮬레이션학회 논문지, 17(2), pp.63~74 (2008), 한국시뮬레이션학회
- Standridge, C.R., "Why lean needs simulation", In Proceedings of the 38th conference on Winter simulation, pp.1907~1913 (2006)
- Yoon, H.J., "Simulation-based real-time decision making for manufacturing automation systems :a review", International Journal of Manufacturing Technology and Management, s8(1-3), pp.188~202 (2006)