Abstract
A process control strategy is proposed based upon the twin themes of statistical and automatic process control. The main categories of product fault are identified and related to the capabilities of statistical and automatic control. Statistical control is supported by process fault information from a process specific fault tree analysis, which provides the basis for a corrective intervention protocol. Application is discussed in terms of fuzzy automatic control, which offers a greater generality than conventional automatic control modelling. Prior publications which fuzzifies statistical control zones are arguably incomplete in the application of logic propositions and also in the identification of process faults. The present work proposes a general strategy, which may be adapted to specific processes. Both control by variables and control by attributes may be included within this treatment.
This material has been reproduced from the Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, 2003, Volume 217 (B1), pp. 99–109, “On the correlation of statistical and automatic process control”, by J. Harris, with permission of the Council of the Institution of Mechanical Engineers.
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(2006). On the Correlation of Statistical and Automatic Process Control. In: Tzafestas, S.G., et al. Fuzzy Logic Applications in Engineering Science. Microprocessor-Based and Intelligent Systems Engineering, vol 29. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4078-4_13
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DOI: https://doi.org/10.1007/1-4020-4078-4_13
Publisher Name: Springer, Dordrecht
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