A Generalization of the Discrete Feedback Adjustment by Rational Subgrouping

  • Park, Changsoon (Department of Applied Statistics, Chung-ang University) ;
  • Moonsup Song (Department of Statistics, Seoul National University) ;
  • Lee, Jaeheon (Department of Industrial Information Engineering, Kwangju University)
  • 발행 : 1998.06.01

초록

Process adjustment has been widely used in production processes in order to set the output characteristic as close as to the target. Box and Kramer(1992) developed a feedback adjustment control procedure for process adjustment. We generalize their procedure by using a rational subgrouping of sequential observations. In this paper the feedback control rule of the rational subgrouping is proposed and the overall expected cost is evaluated. Also properties of the proposed control scheme are illustrated and compared to Box and Kramer's in the context of the expected cost.

키워드

참고문헌

  1. Journal of the Royal Statistical Society, Series B v.24 Some Aspects of Adaptive Optimization and Contrl Box, G.E.P.;Jenkins, G.M.
  2. Bulletin of the International Statistical Institute (34th Seccion) Further Contributions to Adaptive Optimization and Control: Simultaneous Estimation of Dynamics: NonZero Costs Box, G.E.P.;Jenkins, G.M.
  3. Journal of the Royal Srarisrical Society, Series C v.23 Some Recent Advanced in Forecating and Control Box, G.E.P.;Jenkins, G.M.
  4. Time Sesies Analysis : Forecast and Control(3rd Edition) Box, G.E.P.;Jenkins, G.M.;Reinsel, G.C.
  5. Technometrics v.34 Statistical Process Monitoring and Feedback Adjustment-A Discussion Box, G.E.P.;Kramer, T.
  6. Technometrics v.36 Selection of Sampling Interval and Action Limit for Discrete Feedback Adjustment Box, G.E.P.;Luceno, A.
  7. Journal of Quality Technology v.29 Discrete Proportional-Integral Adjustment and Statistical Process Control Box, G.E.P.;Luceno, A.
  8. Statistical Control by Monitoring and Feedback Control Box, G.E.P.;Luceno, A.
  9. Ph.D. dissertation, University of Wisconsin-Madison, Dept. of Statistics. Process Control From an Economic Point of View Kramer, T.
  10. Communications in Statistics-Theory and Methods v.22 Performance of EWMA Versus Last Observation for Feed-back Control Luceno, A.
  11. Journal of Statistical Computation and Simulation v.54 Computing Optimal Adjustment Schemes for the General Tool-Wear Problem Luceno, A.;Gonzalez, F. J. ;Puing-Pey, J.