A quality monitoring and decision-making scheme for automated production processes

Traditional attribute control charts are based on the monitoring of the number of nonconforming items in a sample of fixed size. In modern manufacturing processes, since items can be checked automatically, use of samples of a fixed subjective size with traditional charts is not suitable for on-line...

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Bibliographic Details
Published in:The International journal of quality & reliability management 1999-03, Vol.16 (2), p.148-157
Main Authors: Xie, M, Lu, X.S, Goh, T.N, Chan, L.Y
Format: Article
Language:English
Subjects:
Approximation
Automation
Binomial distribution
Control charts
Decision making
False alarms
Manufacturing
Mathematical models
Process controls
Production management
Random variables
Sample size
Statistical process control
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Summary:Traditional attribute control charts are based on the monitoring of the number of nonconforming items in a sample of fixed size. In modern manufacturing processes, since items can be checked automatically, use of samples of a fixed subjective size with traditional charts is not suitable for on-line continuous inspection. Furthermore, the sample size usually has to be large when the process fraction nonconforming is not reasonably high. If a decision is to be made only when a sufficient number of items are manufactured and inspected, many nonconforming items might have been produced. In this paper, a control scheme is presented based on the monitoring of cumulative counts of items inspected. This procedure will limit the number of consecutive nonconforming items to a small value when the process has suddenly deteriorated, can detect a sudden process shift quickly and is suitable for continuous inspection processes. The exact probability control limits are derived and the implementation procedure is described.
ISSN:0265-671X
1758-6682
DOI:10.1108/02656719910218238