A new nonparametric double exponentially weighted moving average control chart. (3rd September 2019)

• Record Type: Journal Article
• Authors: Raza, Muhammad Ali; Nawaz, Tahir; Aslam, Muhammad; Bhatti, Sajjad Haider; Sherwani, Rehan Ahmed Khan
• Is Part Of: Quality and reliability engineering international. Volume 36:Number 1(2020)
• Page Start: 68
• Page End: 87
• Publication Date: 2019-09-03
• Subjects: average run length -- EWMA statistic -- nonparametric control charts -- Wilcoxon signed rank test; Reliability (Engineering) -- Periodicals; Quality control -- Periodicals; High technology -- Periodicals; 620.00452
• DOI: 10.1002/qre.2560
• Languages: English
• ISSNs: 0748-8017

Abstract

Abstract: There are many practical situations where the underlying distribution of the quality characteristic either deviates from normality or it is unknown. In such cases, practitioners often make use of the nonparametric control charts. In this paper, a new nonparametric double exponentially weighted moving average control chart on the basis of the signed‐rank statistic is proposed for monitoring the process location. Monte Carlo simulations are carried out to obtain the run length characteristics of the proposed chart. The performance comparison of the proposed chart with the existing parametric and nonparametric control charts is made by using various performance metrics of the run length distribution. The comparison showed the superiority of the suggested chart over its existing parametric and nonparametric counterparts. An illustrative example for the practical implementation of the proposed chart is also provided by using the industrial data set.