Research on fuzzy control charts for fuzzy multilevel quality characteristics

International journal of metrology and quality engineering

article

Juan Zhou¹  Yuhang Huang¹  Zonghuan Wu¹ 

[1]College of Quality & Safety Engineering, China Jiliang University

关键词: Fuzzy hierarchical quantitative characteristics;    fuzzy theory;    control chart;    Direct Fuzzy Control Chart (DFCC);   

DOI  :  10.1051/ijmqe/2021003

学科分类：土木及结构工程学

来源: EDP Sciences

【 摘 要 】

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.

【 授权许可】

CC BY