New fuzzy EWMA control charts for monitoring phase II fuzzy profiles

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Abstract

In many quality control applications, the quality of a process or product is explained by the relationship between response variable and one or more explanatory variables, called a profile. In this paper, a new fuzzy EWMA control chart for phase II fuzzy profile monitoring is proposed. To this end, we extend EWMA control charts to its equivalent Fuzzy type and then implement fuzzy ranking methods to determine whether the process fuzzy profile is under or out of control. The proposed method is capable of identifying small changes in process under condition of process profile explaining parameters vagueness, roughness and uncertainty. Determining the source of changes, this method provides us with the possibility of recognizing the causes of process transition from stable mode, removing these causes and restoring the process stable mode.

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Moghadam, G., Ardali, G. A. R., & Amirzadeh, V. (2016). New fuzzy EWMA control charts for monitoring phase II fuzzy profiles. Decision Science Letters, 5(1), 119–128. https://doi.org/10.5267/j.dsl.2015.7.004

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