Application of fuzzy sets to estimate cost savings due to variance reduction

Jairo Munoz; Phillip F. Ostwald

doi:10.1117/12.165028

22 December 1993 Application of fuzzy sets to estimate cost savings due to variance reduction

Jairo Munoz, Phillip F. Ostwald

Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165028
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

One common assumption of models to evaluate the cost of variation is that the quality characteristic can be approximated by a standard normal distribution. Such an assumption is invalid for three important cases: (a) when the random variable is always positive, (b) when manual intervention distorts random variation, and (c) when the variable of interest is evaluated by linguistic terms. This paper applies the Weibull distribution to address nonnormal situations and fuzzy logic theory to study the case of quality evaluated via lexical terms. The approach concentrates on the cost incurred by inspection to formulate a probabilistic-possibilistic model that determines cost savings due to variance reduction. The model is tested with actual data from a manual TIG welding process.

Citation Download Citation

Jairo Munoz and Phillip F. Ostwald "Application of fuzzy sets to estimate cost savings due to variance reduction", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165028

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