Graduate Thesis Or Dissertation

 

Modeling and analyzing processes with infrequent failures : implications for process monitoring policies Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/4m90f035n

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  • Continues improvement of industrial systems require constant measuring process variation and eliminating extraneous variation whenever possible to push the target measures as close to the ideal value as possible. Statistical Processes Control (SPC) technique is a very efficient statistical technique for monitoring and controlling processes variation. In recent years an alternate Shewhart-type statistical quality control charts called g-chart has been developed for controlling process variation where failure is infrequent like hospital acquired infections. However, g-chart, EWMA chart and probability based control charts, which are the main control charts used for monitoring infrequent failure processes fail to detect changes in the process quickly enough. As a solution it was proposed to inspect and follow-up on every failure that occurs in the process. A mathematical model for the long-run cost of a quality control policy is developed. This model is used to compare the cost of following up on every failure policy with the cost of using statistical control chart for monitoring processes. By comparing the total cost per hour of using statistical control chart method with the total cost per hour of following up on every failure, it is concluded that following up on every failure policy results in quick detection of changes in the process and it is also a more cost efficient method.
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