A new development of an adaptive X − R control chart under a fuzzy environment

Hamed Sabahno, Seyed Meysam Mousavi and Amirhossein Amiri

International Journal of Data Mining, Modelling and Management, 2019, vol. 11, issue 1, 19-44

Abstract: It is proved that adaptive control charts have better performance than classical control charts due to adaptability of some or all of their parameters to the previous process information. Fuzzy classical control charts have been occasionally considered by many researchers in the last two decades; however, fuzzy adaptive control charts have not been investigated. In this paper, we introduce a new adaptive X − R fuzzy control chart that allows all of the charts' parameters to adapt based on the process state in the previous sample. Also, the warning limits are redefined in the fuzzy environments. We utilise fuzzy mode defuzzification technique to design the decision procedure in the proposed fuzzy adaptive control chart. Finally, an illustrative example is used to present the application of the proposed control chart.

Keywords: X − R control charts; adaptive control charts; fuzzy uncertainty; trapezoidal fuzzy numbers; TrFNs. (search for similar items in EconPapers)
Date: 2019
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