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Title: A quality monitoring and decision-making scheme for automated production processes
Authors: Xie, M. 
Lu, X.S.
Goh, T.N. 
Chan, L.Y.
Keywords: Attribute control charts
Automated operations
Process improvement
Statistical process control
Issue Date: 1999
Citation: Xie, M.,Lu, X.S.,Goh, T.N.,Chan, L.Y. (1999). A quality monitoring and decision-making scheme for automated production processes. International Journal of Quality and Reliability Management 16 (2) : 148-157. ScholarBank@NUS Repository.
Abstract: 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. © MCB UP Ltd.
Source Title: International Journal of Quality and Reliability Management
ISSN: 0265671X
DOI: 10.1108/02656719910218238
Appears in Collections:Staff Publications

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