CV Control Chart Using GWMA Technique

Eui Pyo Hong; Hae Woon Kang; Chang Wook Kang; Jae Won Baik

doi:10.4028/www.scientific.net/AMR.337.247

Paper Titles

Analytical Solution on the Relation of Technique Parameters for Continuous Casting with Heated Mould
p.225

The Simulation of Compression Performance of Aluminum Foams Base on DEFORM
p.232

Improvement of Die-Roll Quality in Compound Fine-Blanking Forming Process
p.236

Feasibility Study on HRS Substituting CRS of Automobile Inner Panels Based on Numerical Simulation and Field Test
p.242

CV Control Chart Using GWMA Technique
p.247

Effect of the Welding Heat Input on Residual Stresses in Butt-Weld of High-Speed Train
p.255

Numerical Simulation on Forced Revolving Moving Boundary Problem Using Incompressible SPH (ISPH)
p.262

Multi-Physics Simulation of Amorphous Silicon Thin-Film Deposition in Plasma Enhanced Chemical Vapor Reactors
p.266

Numerical Simulation for Thick-Walled Hollow Axle during Cross Wedge Rolling
p.270

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 337CV Control Chart Using GWMA Technique

CV Control Chart Using GWMA Technique

Abstract:

When the production run is short and process parameters change frequently, it is difficult to monitor the process using traditional control charts. In such a case, the coefficient of variation (CV) is very useful for monitoring the process variability. The CV control chart, however, is not sensitive at small shifts in the magnitude of CV. This study suggest the CV-GWMA(generally weighted moving average) control chart, combining the GWMA technique, which shows better performance than the EWMA(exponentially weighted moving average) or DEWMA(double exponentially weighted moving average) technique in detecting small shifts of the process. Through a performance evaluation, the proposed control chart showed more excellent performance than the existing CV-EWMA control chart or the CV-DEWMA control chart in detecting small shifts in CV.