Enhancing the performance of the EWMA control chart for monitoring the process mean using auxiliary information. (16th December 2018)

• Record Type: Journal Article
• Authors: Adegoke, Nurudeen A.; Abbasi, Saddam Akber; Dawod, Abdaljbbar B.A.; Pawley, Matthew D.M.
• Is Part Of: Quality and reliability engineering international. Volume 35:Number 4(2019)
• Page Start: 920
• Page End: 933
• Publication Date: 2018-12-16
• Subjects: auxiliary variable -- average run length -- median ranked set sampling -- ranked set sampling; Reliability (Engineering) -- Periodicals; Quality control -- Periodicals; High technology -- Periodicals; 620.00452
• DOI: 10.1002/qre.2436
• Languages: English
• ISSNs: 0748-8017

Abstract

Abstract: When using control charts to monitor manufacturing processes, the exponentially weighted moving average (EWMA) control chart is useful for detecting persistent shifts in the process parameter. This paper proposes enhancements to the applications of the EWMA control chart for those scenarios where the exact measurement of process units is difficult and expensive, but the visual ordering of the units can be done easily. The proposed charts use an auxiliary variable that is correlated with the process variable to provide efficient monitoring of shifts in the process mean and are formulated based on ranked set sampling (RSS) and median RSS schemes (MRSS). Simulation results showed that the proposed charting schemes are more efficient in detecting a shift in the process mean than the classical EWMA control chart and its modification. An example is provided to show the application of the proposed charts using a simulated benchmark process: the continuous stirred tank reactor (CSTR).