Attribute Control Chart Construction Based on Fuzzy Score Number

There is much uncertainty and fuzziness in product quality attributes or quality parameters of a manufacturing process, so the traditional quality control chart can be difficult to apply. This paper proposes a fuzzy control chart. The plotted data was obtained by transforming expert scores into fuzz...

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Bibliographic Details
Published in:Symmetry (Basel) 2016, Vol.8 (12), p.139-139
Main Authors: Hou, Shiwang, Wang, Hui, Feng, Shunxiao
Format: Article
Language:English
Subjects:
Control limits
Fuzzy
fuzzy attribute control chart
Fuzzy control
fuzzy scores
Judgments
membership function
Parameter uncertainty
Quality management
Reliability
Symmetry
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Summary:There is much uncertainty and fuzziness in product quality attributes or quality parameters of a manufacturing process, so the traditional quality control chart can be difficult to apply. This paper proposes a fuzzy control chart. The plotted data was obtained by transforming expert scores into fuzzy numbers. Two types of nonconformity judgment rules-necessity and possibility measurement rules-are proposed. Through graphical analysis, the nonconformity judging method (i.e., assessing directly based on the shape feature of a fuzzy control chart) is proposed. For four different widely used membership functions, control levels were analyzed and compared by observing gaps between the upper and lower control limits. The result of the case study validates the feasibility and reliability of the proposed approach.
ISSN:2073-8994
2073-8994
DOI:10.3390/sym8120139