Paper
22 December 1993 Process capability analysis using fuzzy sets theory
Jairo Munoz
Author Affiliations +
Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165027
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
If tolerances are defined by crisp numerical values, several vehicles based on probabilities and classical statistics exist to conduct a process capability analysis. If data are categorical, however, and if they are obtained from subjective evaluations, the existing methods are inappropriate. Furthermore, if specifications are set in lexical terms or are loosely defined, current approaches are impossible to implement. This paper applies fuzzy logic theory to study process capability in the presence of uncertainty and categorical data. Examples are discussed using TIG welding experimental data.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jairo Munoz "Process capability analysis using fuzzy sets theory", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165027
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KEYWORDS
Fuzzy logic

Statistical analysis

Inspection

Tolerancing

Manufacturing

Data processing

Binary data

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