Download or read book Economic Design of Control Charts for Multivariate Multistate Processes written by Richard John Harris and published by . This book was released on 1977 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Economic Design of Control Charts for Correlated Multivariate Observations written by Francis Bernard Alt and published by . This book was released on 1977 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multivariate Bayesian Process Control written by Zhijian Yin and published by . This book was released on 2008 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate control charts are valuable tools for multivariate statistical process control (MSPC) used to monitor industrial processes and to detect abnormal process behavior. It has been shown in the literature that Bayesian control charts are optimal tools to control the process compared with the non-Bayesian charts. To use any control chart, three control chart parameters must be specified, namely the sample size, the sampling interval and the control limit. Traditionally, control chart design is based on its statistical performance. Recently, industrial practitioners and academic researchers have increasingly recognized the cost benefits obtained by applying the economically designed control charts to quality control, equipment condition monitoring, and maintenance decision-making. The primary objective of this research is to design multivariate Bayesian control charts (MVBCH) both for quality control and conditional-based maintenance (CBM) applications. Although considerable research has been done to develop MSPC tools under the assumption that the observations are independent, little attention has been given to the development of MSPC tools for monitoring multivariate autocorrelated processes. In this research, we compare the III performance of the squared predication error (SPE) chart using a vector autoregressive moving average with exogenous variables (VARMAX) model and a partial least squares (PLS) model for a multivariate autocorrelated process. The study shows that the use of SPE control charts based on the VARMAX model allows rapid detection of process disturbances while reducing false alarms.Next, the economic and economic-statistical design of a MVBCH for quality control considering the control limit policy proved to be optimal by Makis (2007) is developed. The computational results illustrate that the MVBCH performs considerably better than the MEWMA chart, especially for smaller mean shifts. Sensitivity analyses further explore the impact of the misspecified out-of-control mean on the actual average cost. Finally, design of a MVBCH for CBM applications is considered using the same control limit policy structure and including an observable failure state. Optimization models for the economic and economic statistical design of the MVBCH for a 3 state CBM model are developed and comparison results show that the MVBCH performs better than recently developed CBM Chi-square chart.

Download or read book Multicriteria Optimization for Design of Multivariate Control Charts for Manufacturing Processes written by Jesus S. Arreola-Risa and published by . This book was released on 1990 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Journal of Quality Technology written by and published by . This book was released on 1979 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Economic Statistically Constrained Design of Multivariate Exponentially Weighted Moving Average Control Charts written by Wade Edward Molnau and published by . This book was released on 1998 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Economic Design of S Control Chart Using Markov Chain Method written by and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Univariate and Multivariate Process Control Charts written by Gunabushanam Nedumaran and published by . This book was released on 1997 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Economic Design of Control Charts Used to Improve Process Quality written by Tamer Adel Mohamed and published by . This book was released on 2004 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Economic Design of Control Charts for Variables Under Heteroscedasticity written by K. S. Krishnamoorthi and published by . This book was released on 1979 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multivariate Step down Control Charts written by Siebrand J. Wierda and published by . This book was released on 1993 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Economic Design of Control Chart written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Control chart are widely used to establish and maintain statistical control of a process. In other words it is a tool used to monitor processes and to assure that they remain "In Control" or stable The vital function of control chart is to find out the occurrence of assignable causes so that the necessary corrective action can be taken before a huge amount of defective product is produced. The X-bar control chart is preferred most in comparison to any other control chart technique if quality is measured on a regular scale. In the present project, we here develop the economic design of the X-bar control chart using Genetic Algorithm to determine the values of the sample size, sampling interval, width of control limits such that the expected total cost per hour is minimized. The genetic algorithms (GA) are applied to search for the optimal values of the three test parameters of the X-bar chart. In genetic algorithm we use mutation and cross-over technique to get the optimal solution. Finally, a sensitivity analysis will be carried out to investigate the effect of model parameters on the solution of the economic design.

Download or read book Univariate and Multivariate Statistical Process Control written by Murat Caner Testik and published by LAP Lambert Academic Publishing. This book was released on 2010-10 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Univariate and multivariate quality control charts are important tools for process/product monitoring and improvement. This monograph offers the developments and analyses of univariate and multivariate control charts, which are based on a generalized likelihood ratio (GLR) approach. It is commonly assumed that a process fault may shift the mean of a monitored statistic persistently to an unknown but constant value. However, there are situations such that a mean change is not constant but time varying. Incorporating a priori knowledge of a fault signature, a univariate GLR control chart is investigated for monitoring fault signatures. The GLR methodology can also be used in developing multivariate process control charts. Here, the GLR methodology is used to unify the development of various multivariate extensions to the CUSUM control charts. In addition to the GLR control charts under a normal distribution model, another GLR control chart is also proposed for monitoring a non- homogenous Markovian queuing system.

Download or read book The Economic Design of Control Charts for High Quality Processes written by Xinyan Tang and published by . This book was released on 2001 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Alternative Process Models for the Economic Design of T squared Control Charts written by Jimmy Yew-Hang Yeung and published by . This book was released on 1972 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of Nonparametric Control Chart for Monitoring Multivariate Processes Using Principal Components Analysis and Data Depth written by Patricia B. Zarate and published by . This book was released on 2003 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multivariate Statistical Process Control Charts written by Sotiris Bersimis and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control charts, such as multivariate Shewhart-type control charts, multivariate CUSUM control charts and multivariate EWMA control charts. In addition, we review unique procedures for the construction of multivariate control charts, based on multivariate statistical techniques such as principal components analysis (PCA) and partial lest squares (PLS). Finally, we describe the most significant methods for the interpretation of an out-of-control signal.