Int. J. Metrol. Qual. Eng.
Volume 12, 2021
Topical Issue - Advances in Metrology and Quality Engineering
|Number of page(s)||10|
|Published online||17 March 2021|
Research on fuzzy control charts for fuzzy multilevel quality characteristics
College of Quality & Safety Engineering, China Jiliang University, Zhejiang Hangzhou 310018, PR China
* Corresponding author: firstname.lastname@example.org
Accepted: 10 February 2021
Fuzzy control charts are proposed to solve the problem that traditional control charts cannot be applied to fuzzy quality characteristics. First, fuzzy quality characteristics are converted to representative statistics, which are fuzzy mode transformation, fuzzy level midrange transformation and fuzzy level median transformation. Control charts are designed based on the Poisson distribution. Second, the effects of the different statistics are analysed. Direct Fuzzy Control Charts are designed to avoid some information omission when translating fuzzy quality characteristics into representative statistics. The area ratio that falls within the control limits is used to conclude whether the process is relative out of control or in control. The performance of the control charts is analysed by MATLAB simulation. Finally, an example of an energy metre assembly is given to prove the proposed method.
Key words: Fuzzy hierarchical quantitative characteristics / fuzzy theory / control chart / Direct Fuzzy Control Chart (DFCC)
© J. Zhou et al., published by EDP Sciences, 2021
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