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A Hybrid Approach to Statistical Process Control

Massimiliano Giorgio (Dipartimento di Ingegneria Aerospaziale e Meccanica, Seconda Universita di Napoli, Real Casa dell’Annunziata 29, Via Roma – 81031 Aversa, Italy)
Michele Staiano (Dipartimento di Progettazione Aeronautica, Universita di Napoli Federico II, 80, p.le V. Tecchio – 80125 Napoli, Italy)

Asian Journal on Quality

ISSN: 1598-2688

Article publication date: 17 April 2004



Successful implementation of statistical process control techniques requires for operational definitions and precise measurements. Nevertheless, very often analysts can dispose of process data available only by linguistic terms, that would be a waste to neglect just because of their intrinsic vagueness. Thus a hybrid approach, which integrates fuzzy set theory and common statistical tools, sounds useful in order to improve effectiveness of statistical process control in such a case. In this work, a fuzzy approach is adopted to manage linguistic information, and the use of a Chi‐squared control chart is proposed to monitor process performance.



Giorgio, M. and Staiano, M. (2004), "A Hybrid Approach to Statistical Process Control", Asian Journal on Quality, Vol. 5 No. 1, pp. 52-67.



Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited

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