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|Title:||A quality monitoring and decision-making scheme for automated production processes||Authors:||Xie, M.
|Keywords:||Attribute control charts
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. https://doi.org/10.1108/02656719910218238||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||URI:||http://scholarbank.nus.edu.sg/handle/10635/54749||ISSN:||0265671X||DOI:||10.1108/02656719910218238|
|Appears in Collections:||Staff Publications|
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