DOI QR코드

DOI QR Code

A Case Study on Productivity Improvement by a Discrete Event-Driven Simulation System

이산사건 시뮬레이션 시스템을 활용한 생산성 개선 사례 연구

  • Kim, Sangtae (Department of Industrial and Management Engineering, Hanbat National University) ;
  • Shin, Moonsoo (Department of Industrial and Management Engineering, Hanbat National University) ;
  • Ryu, Kwangyeol (Department of Industrial Engineering, Pusan National University) ;
  • Cho, Yongju (Korea Institute of Industrial Technology)
  • Received : 2015.08.31
  • Accepted : 2015.12.08
  • Published : 2015.12.31

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.

Keywords

References

  1. Chai, J.I. and Park, Y.B., A Study on Throughput Increase in Semiconductor Package Process of K Manufacturing Company Using a Simulation Model. Journal of the Korea Society for Simulation, 2010, Vol. 19, No. 1, pp. 1-11.
  2. Chan, F.T.S., Bhagwat, R., and Wadhwa, 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, 2006, Vol. 44, No. 7, pp. 1431-1445. https://doi.org/10.1080/00207540500398959
  3. Choi, G.S., Park G.A., and Yoon, Y.S., A Methodology for Productivity Improvement using Simulation Technique in Small and Medium Enterprise. Journal of Industrial Economics and Business, 2011, Vol. 24, No. 4, pp. 1969-1987.
  4. Choi, M.C., A Study on Heat-Treatment Process Scheduling for Heavy Forged Products using MIP. Korean Management Science Review, 2012, Vol. 29, No. 2, pp. 143-155. https://doi.org/10.7737/KMSR.2012.29.2.143
  5. Herrmann, C., Thiede, S., Kara, S., and Hesselbach, J., Energy oriented simulation of manufacturing systems- Concept and application. CIRP Annals-Manufacturing Technology, 2011, Vol. 60, No. 1, pp. 45-48. https://doi.org/10.1016/j.cirp.2011.03.127
  6. Jeong, Y.S., Yim, H.J., Jee, H.S., and Lee, K.K., A Manufacturing Line Optimization for Discrete Event Simulation and Genetic Algorithm. Transaction of the Society of CAD/CAM Engineers, 2008, Vol. 13, No. 1, pp. 67-75.
  7. Jung, B.J. and Lee, Y.H., Capacity Planning and Control of Probe Process in Semiconductor Manufacturing. IE interfaces, 1997, Vol. 10, No. 3, pp. 15-22.
  8. Kang, T.Y., Kwon, D.W., and Son, E.I., The Effect of Multiple Value Frames of IT Productivity on Business Performance. Journal of the Quality Management, 2003, Vol. 31, No. 4, pp. 203-218.
  9. Kim, D.G., Kang, .M.K., Choi, J.Y., Park, K.J., and Kong, M.S., Improvement of the Waste Refrigerator Pre-processing Line in Metropolitan Recycling Center using Simulation. Journal of the Korea Society for Simulation, 2013, Vol. 22, No. 4, pp. 129-138. https://doi.org/10.9709/JKSS.2013.22.4.129
  10. Kim, D.S. and Moon, D.H., A Case Study of Comparing the Measuring Methods for Workloads of Resources in a Manufacturing Processes of Semiconductor-Parts. Journal of the Korea Society for Simulation, 2011, Vol. 20, No. 3, pp. 49-58. https://doi.org/10.9709/JKSS.2011.20.3.049
  11. Kitech OPIS_SIMULATION_FRAMEWORK. C-2012-006817.
  12. Kitech, OPIS_SIMULATION_ENGINE. C-2012-006816.
  13. Kwon, C.M. and Lim, S.G., Bottleneck Detection Based on Duration of Active Periods. Journal of the Korea Society for Simulation, 2013, Vol. 22, No. 3, pp. 35-41. https://doi.org/10.9709/JKSS.2013.22.3.035
  14. 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, 1994, Vol. 22, No. 4, pp. 79-101.
  15. Lee, G.C., The information of dispatching rules for improving job shop performance. Journal of the Society of Korea Industrial and Systems Engineering, 2007, Vol. 30, No. 3, pp. 94-102.
  16. Lee, J.Y., A Study on Lead-time Reduction Based on Advanced Planning and Scheduling(APS) System. Master thesis, Hanbat National University, 2015.
  17. Lee, K.K., Yun, W.Y., Moon, I.K., Cho, H.S., and Cha, B.C., A Study on Improvement of a Production System in Small and Medium Sized Shoes Companies using Simulation. IE interfaces, 2005, Vol. 18, No. 1, pp. 35-43.
  18. Lee, S.J., Cho, N.Y., Kim, B.S., and Cho, C.W., Identifying Promising IT Products for SMEs under the Concept of Business Ecosystem. Journal of the Korean Institute of Industrial Engineers, 2013, Vol. 39, No. 1, pp. 61-72. https://doi.org/10.7232/JKIIE.2013.39.1.061
  19. Lim, K.H., Rule-based Process Control System for multiproduct, small-sized production. Journal of the Korea Industrial Information Systems Research, 2010, Vol. 15, No. 1, pp. 47-57.
  20. Rosen, S.L., Harmonosky, C.M., and Traband, M.T., A simulation optimization method that considers uncertainty and multiple performance measures. European Journal of Operational Research, 2007, Vol. 181, No. 1, pp. 315-330. https://doi.org/10.1016/j.ejor.2006.05.040
  21. Shin, M.S., Ryu, K.Y., and Cho, Y.J., ISC process management simulation. Seoul : Korea Association of Machinery Industry, 2014.
  22. Singholi, A., Ali, M., and Sharma, C., Impact of manufacturing flexibility on FMS performance : a simulation study. International Journal of Industrial and Systems Engineering, 2011, Vol. 10, No. 1, pp. 96-116. https://doi.org/10.1504/IJISE.2012.044045
  23. Sohn, M.E., Kim, W., and Kang, S.J., A RFID-based Process Improvement Methodology : Packing Process of Medium size Enterprise. Journal of the Korea Society for Simulation, 2007, Vol. 16, No. 4, pp. 67-75.
  24. Song, M.G., Jung, C.H., and Chi, S.D., A study of Cluster Tool Scheduler Algorithm which is Support Various Transfer Patterns and Improved Productivity. Journal of the Korea Society for Simulation, 2010, Vol. 19, No. 4, pp. 99-109.
  25. Song, Y.J., Woo, J.H., Lee, D.K., and Shin, J.G., A Simulation Study for Evaluation of Alternative Plans and Making the Upper-limit for Improvement in Productivity of Flow-shop with Considering a Work-wait Time. Journal of the Korea Society for Simulation, 2008, Vol. 17, No. 2, pp. 63-74.
  26. Standridge, C.R. and Marvel, J.H., Why lean needs simulation. In Proceedings of the 38th conference on Winter simulation, 2006, pp. 1907-1913.
  27. Yoon, H.J. and Shen, W., Simulation-based real-time decision making for manufacturing automation systems : a review. International Journal of Manufacturing Technology and Management, 2006, Vol. 8, No. 1-3, pp. 188-202. https://doi.org/10.1504/IJMTM.2006.008795