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http://dx.doi.org/10.9709/JKSS.2013.22.2.093

A Simulation Study on the Application of Cellular Manufacturing System in the Automated Welding Line Producing Excavator-parts  

Kim, Hye Jeong (창원대학교 산업시스템공학과)
Lee, Seung Woo (창원대학교 산업시스템공학과)
Moon, Dug Hee (창원대학교 산업시스템공학과)
Publication Information
Journal of the Korea Society for Simulation / v.22, no.2, 2013 , pp. 93-100 More about this Journal
Abstract
Mixed model production system means that various products are manufactured alternately in a line, and it has become a popular system in the era of multi-product small-quantity production. However, in the mixed model production system using flow line, the unbalance among stations is not inevitable because the workloads of stations cannot be the same. Thus, flow line system has been replaced to cellular manufacturing system for reducing the loss of waiting due to the unbalance of stations. In this paper, we introduce the simulation case study of an automated welding line which produces the parts of excavator. The factory has considered replacing the mixed model flow line to the cellular manufacturing system based on FMC concept. The increase of production quantity is estimated about 26.7%, and the lead time is reduced more than 55%. Furthermore sensitivity analyses are conducted considering the changes of product-mix.
Keywords
Mixed model; Cellular manufacturing system; Excavator; Welding processes; Simulation; Automation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 (Korean)사카마키 히사시 (삼성전자 디지털미디어총괄 제조기술센터 역), 캐논방식의 셀생산시스템, 동양문고, 서울, 2006.
2 (Korean)황학 외 6인, 설비계획론, 영지문화사, 서울, 2001.
3 Akturk, M.S., Gultekin, H. and Karasan, O.E., "Robotic Cell Scheduling with Operational Flexibility", Discrete Applied Mathematics, Vol. 145, (2005), pp. 334-348.   DOI   ScienceOn
4 Drobouchevitch, I.G., Geismar, H.N. and Sriskandarajah, C., "Throughput Optimization in Robot Cells with Input and Output Machine Buffers: A Comparative Study of Two Key Models", European Journal of Operational Research, Vol. 206, (2010), pp. 623-633.   DOI   ScienceOn
5 Gultekin, H., Akturk, M.S. and Karasan, O.E., "Scheduling in Three Machine Robotic Flexible Manufacturing Cell", Computers & Operations Research, Vol. 34, (2007), pp. 2463-2477.   DOI   ScienceOn
6 Lu, M.S. and Wiens, G.J., "Predictive Pull Based Control of Unmanned Manufacturing Cells, Accounting for Robot Mobility", Robotics and Computer Integrated Manufacturing, Vol. 18, (2002), pp. 83-94.   DOI   ScienceOn
7 Moon, D.H., Song, C. and Ha, J.H. "A Dynamic Algorithm for the Control of Automotive Painted Body Storage", Simulation, Vol. 81, (2005), pp.773-787.   DOI
8 Savsar, M. and Aldaihani, M. "Modeling of Machine Failures in a Flexible Manufacturing Cell with Two machines Served by a Robot", Reliability Engineering and System Safety, Vol. 93, (2008), pp. 1551-1562.   DOI   ScienceOn
9 Shin, K.W., Lee, G.H. and Moon, D.H., "A Simulation Study on the Overhaul Repair Shop of Weapon System", Journal of the Korea Society for Simulation, Vol. 20, No. 3 (2011), pp.119-127.   과학기술학회마을   DOI   ScienceOn
10 Yoon, J.I., Um, I.S. and Lee, H.C., "Proactive Operational Method for the Transfer Robot of FMC", Journal of the Korea Society for Simulation, Vol. 17, No. 4 (2008), pp. 249-257.   과학기술학회마을