Simulation on control chart in monitoring the multivariate process variability

2017 ◽  
Author(s):  
Besse Helmi Mustawinar ◽  
Nurtiti Sunusi ◽  
Erna Tri Herdiani
Keyword(s):  
Control Chart ◽  
Process Variability ◽  
Multivariate Process

scholarly journals Measuring the Performance of an Eigenvalue Control Chart for Monitoring Multivariate Process Variability

2014 ◽  
Vol 7 (2) ◽  
Author(s):  
Aishah Mohd Noor ◽  
Maman Abdurachman Djauhari
Keyword(s):  
Control Chart ◽  
Manufacturing Processes ◽  
Statistical Tool ◽  
Process Variability ◽  
Multivariate Process ◽  
Control Charting ◽  
Quality Product ◽  
The Stability ◽  
High Quality Product

In manufacturing process, it is very important to control and monitor the stability of a process such that a high quality product will be produced. The most common statistical tool used for monitoring the stability of a process is the control chart. In recent applications of control charting methods, there is a need to construct a control chart that is able to represent the behaviour of a multivariate process since in many manufacturing processes; quality of a product is determined by the joint-level of several quality characteristics. For this reason, in this paper, a new control chart is introduced for monitoring the stability of multivariate process in terms of the process variability. The proposed method is based on charting each of the eigenvalues of a covariance matrix. To show the efficiency of the proposed method, we conduct a simulation study and compare the performance of the proposed method with the existing method. A real example will be presented to illustrate the advantage of our proposed method.

Monitoring multivariate process variability via eigenvalues

2017 ◽  
Vol 113 ◽  
pp. 269-281 ◽  
Author(s):  
Jinyu Fan ◽  
Lianjie Shu ◽  
Honghao Zhao ◽  
Hangfai Yeung
Keyword(s):  
Process Variability ◽  
Multivariate Process

scholarly journals A process variability control chart

2008 ◽  
Vol 24 (2) ◽  
pp. 345-368 ◽  
Author(s):  
Muhammad Riaz ◽  
Ronald J. M. M. Does
Keyword(s):  
Control Chart ◽  
Process Variability

Exponentially weighted control charts to monitor multivariate process variability for high dimensions

2017 ◽  
Vol 55 (17) ◽  
pp. 4948-4962 ◽  
Author(s):  
Nadeera Gnan Tilshan Gunaratne ◽  
Malihe Akhavan Abdollahian ◽  
Shamsul Huda ◽  
John Yearwood
Keyword(s):  
Control Charts ◽  
High Dimensions ◽  
Process Variability ◽  
Multivariate Process ◽  
Exponentially Weighted

scholarly journals On the reliability of Shewhart-type control charts for multivariate process variability

2017 ◽  
Author(s):  
Maman A. Djauhari ◽  
Rohayu Mohd Salleh ◽  
Zunnaaim Zolkeply ◽  
Lee Siaw Li
Keyword(s):  
Control Charts ◽  
Process Variability ◽  
Multivariate Process
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