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A Hybrid Approach to Statistical Process Control

Giorgio, Massimiliano (Dipartimento di Ingegneria Aerospaziale e Meccanica, Seconda Universita)
Staiano, Michele (Dipartimento di Progettazione Aeronautica, Universita)

Publication Information

International Journal of Quality Innovation / v.5, no.1, 2004 , pp. 52-67 More about this Journal

Abstract

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.

Keywords

Statistical Process Control; Fuzzy Set Theory; Generalized p Control Charts;

Citations & Related Records

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