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                       C O L L O Q U I U M

                     UNIVERSITY  OF  TORONTO
                   DEPARTMENT  OF  STATISTICS
                      100 St. George Street
                     Toronto, Canada M5S 1A1
                   YORK-TORONTO SEMINAR SERIES

TOPIC:         On-line Quality Control Procedures based on Random Walk Model
               and Integrated Moving Average Model of Order (0,1,1)

SPEAKER:       Professor M. Srivastava
               Department of Statistics, University of Toronto
DATE:          October 15, 1992  1:30 p.m.
PLACE:         Ross Building, York University,  Room S577

ABSTRACT:

     Taguchi et al.'s (1989) random walk model for an on-line
quality control procedure is re-examined and a more accurate
approximation of the long run average cost rate is provided.  An
approximate solution for the optimal parameters, the control
limit and the inspection interval, is also given.  Similar
results are also given for the integrated moving average model of
order (0,1,1).  These results correct and improve the results
given by Adams and Woodall (1989) and Box and Kramer (1992).