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오염된 공정을 위한 로버스트 관리도의 설계

The Design of Robust Control Chart for A Contaminated Process

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키워드

주제분류학제간연구

초록

Purpose: In this study, we research the hurdle rate method to suggest the robust control chart for a contaminated process less vulnerable to fault values than existing control charts. Methods: We produce the results of p, ARL values to compare the performance of two control charts,   that has been used typically and TM-TS that is suggested by this paper. We implement the simulation focusing on three cases, change of deviation, mean and both of them. Results: We draw a conclusion that the TM-TS control chart has better efficiency than   control chart over the three cases. Conclusion: We insist that applying TM-TS control chart for a polluted process is more effective than   control chart.

Abstract

Purpose: In this study, we research the hurdle rate method to suggest the robust control chart for a contaminated process less vulnerable to fault values than existing control charts. Methods: We produce the results of p, ARL values to compare the performance of two control charts,   that has been used typically and TM-TS that is suggested by this paper. We implement the simulation focusing on three cases, change of deviation, mean and both of them. Results: We draw a conclusion that the TM-TS control chart has better efficiency than   control chart over the three cases. Conclusion: We insist that applying TM-TS control chart for a polluted process is more effective than   control chart.

참고문헌 (10)

  1. 강지훈, "붓스트랩을 활용한 이상원인변수의 탐지 기법", 품질경영학회지, 39(2), pp.234~243 (2011), 한국품질경영학회
  2. Chung, Youngbae, "Statistical Quality Management" (2010), Seongandang
  3. Braun, W. J., "Estimation of σ for Individuals Charts", Journal of quality technology, 40, pp.332~344 (2008)
  4. Rocke, D. M., "Robust Control Charts", Technometrics, 31(2), pp.173~184 (1989)
  5. Schoonhoven, M., "Design and Analysis of control charts for Standard Deviation with Estimated Parameters", Journal of Quality technology, 43(4), pp.307~333 (2011)
  6. Schoonhoven, M., "A Robust Standard Deviation Control Chart", Technometrics, 54(1), pp.73~82 (2012)
  7. Tatum, L. G., "Robust Estimation of the Process Standard Deviation for Control Charts", Technometrics, 39(2), pp.127~141 (1997)
  8. Tukey, J. W., "Exploratory data analys is, Reading" (1977), Addison-Wesley
  9. Wang, T., "On We ighted Randomly Trimmed Means", Journal of Systems Science and Complexity, 20(1), pp.47~65 (2007)
  10. Woodall, W. H., "Research Issues and Ideas in Statistical Process Control", Journal of Quality Technology, 31(4), pp.376~386 (1999)

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