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A Study on Management System for Improving of Equipment Productivity in Injection Machining Process

사출가공공정에서 설비생산성 향상을 위한 관리체계에 대한 연구

  • Park, Jun-Byung (Industrial Management Engineering, Korea National University of Transportation) ;
  • Bae, Young-Ju (Industrial Management Engineering, Korea National University of Transportation)
  • 박준병 (한국교통대학교 산업경영공학과) ;
  • 배영주 (한국교통대학교 산업경영공학과)
  • Received : 2017.01.10
  • Accepted : 2017.02.11
  • Published : 2017.03.31

Abstract

This study investigates application cases of facility management system model for enhancing facility productivity of industry filed around medium and small facility processing companies and finds the inefficiency of the existing management model. Following items are researched to seek out methods and measures to maximize facility productivity through empirical analysis by exploring and establishing a new management model. First, the empirical analysis, it is found that the overall equipment efficiency index used for facility productivity management in the companies has a difficulty being used as the index for it in actual medium-small processing companies. Second, a new facility management system model applying standard cycle time is suggested among facility management index system to measure facility productivity. Third, the empirical analysis is used to verify that developed facility management system model is a useful method to manage the facility productivity by applying the model to actual medium-small processing companies. Finally, it is necessary to implement comparison analysis on whether actual productivity enhancement induces a distinctly different result by using a new facility management index system model to be inhibited in this study.

Keywords

References

  1. Kim, J. D.(2002), "A Maintenance Strategy for the Productivity Improvement of Manufacturing Companies", Productivity Review, 16(1), pp.73-83.
  2. Suh, Y. J.(2000), "A Study of Management Method for Equipment Productivity", Journal of the Korean Institute of Plant Engineering, 5(1), pp.31-45.
  3. Lee, M. H. and Lim, S. M.(2010), "A Study on an Equipment Performance Measurement System for Effective Bottleneck Management, Journal of the Society of Korea Industrial and Systems Engineering, 33(4), pp.100-113.
  4. Bateman, J.(1995), "Preventive Maintenance: Stand alone Manufacturing Compared with Cellular Manufacturing", Industrial Management, Vol. 37, No.1, pp.19-21.
  5. Burnham, Donald C(1976), "Productivity Concerns People First and Last", Joint Automatic Control Conference, A.S.M.E.
  6. Hipkin, I. B and De Cock, C.(2000), "TQM and BPR: Lessons for Maintenance Management", Omega, Vol. 28, No. 1, pp.277-292. https://doi.org/10.1016/S0305-0483(99)00043-2
  7. Kristy O. Cua, Kathleen E. McKone, Roger G. Schroeder(2001), "Relationships between implementation of TQM, JIT, and TPM and manufacturing performance", Jounal of Operations Management, 19 pp.675-694. https://doi.org/10.1016/S0272-6963(01)00066-3
  8. Laura Swanson(2001), "Linking maintenance strategies to performance", Int. J Production Economics 70 pp.237-244. https://doi.org/10.1016/S0925-5273(00)00067-0
  9. Salvendy, Gavriel(1982), "Handbook of Industrial Engineering", John Willy and Sons, Inc.
  10. Sutermeister, Robert, A.(1976), "People and Productivity", Mc Grawhill.
  11. Wang, F. K. and Lee, W.(2001), "Learning Curve Analysis in Total Productive Maintenance", Omega, Vol. 29, No. 3, pp.491-499. https://doi.org/10.1016/S0305-0483(01)00039-1
  12. Weil, N(1998), "Make the Most of Maintenance", Manufacturing Engineering, Vol. 120, No. 5, pp.118-126.

Cited by

  1. 스마트제조를 위한 머신러닝 기반의 설비 오류 발생 패턴 도출 프레임워크 vol.23, pp.2, 2017, https://doi.org/10.7838/jsebs.2018.23.2.097