This thesis is about the multivariate process monitoring (detection and diagnosis) withbayesian networks. It allows to unify in a same tool (a bayesian network) some monitoring ded-icated methods like multivariate control charts, discriminant analysis and the MYT method.The first chapter gives some essential points of the process monitoring, with a study of differ-ent approa...

When a process demonstrates complex cause-and-effect relationships, adjustments are often used, such as automatic control (APC). On the other hand, statistical (SPC) is used to identify causes of abnormality. For example, we use charts for monitoring. However, in with adjustments, careful consideration should be taken toward choosing characteristics abnormalities may go undetected through sole ...

One approach to monitoring autocorrelated data consists of applying a control chart to the residuals of a time series model estimated from process observations. Recent research shows that the impact of estimation error on the run length properties of the resulting charts is not negligible. In this paper a general strategy for implementing residual-based control schemes is investigated. The desi...

STATISTICAL process control (SPC) is concerned with monitoring processes for a change in distribution. In traditional SPC settings, it is assumed that the distribution of the process prior to any change points is fully known, including all its parameters. The process is said to be in-control if it is being generated by the prechange distribution and out-of-control if a change occurs that causes...

Control charts are one of the most important tools in statistical process control that lead to improve quality processes and ensure required quality levels. In traditional control charts, all data should be exactly known, whereas there are many quality characteristics that cannot be expressed in numerical scale, such as characteristics for appearance, softness, and color. Fuzzy sets theory is p...

BACKGROUND The Shipman Inquiry recommended mortality rate monitoring if it could be 'shown to be workable' in detecting a future mass murderer in general practice. AIM To examine the effectiveness of cumulative sum (CUSUM) charts, cross-sectional Shewhart charts, and exponentially-weighted, moving-average control charts in mortality monitoring at practice level. DESIGN OF STUDY Analysis of ...

This paper presents simpler alternative formulae and procedures of implementation to deal with the relative range statistic (moments, distribution and quantiles) used in the construction of range control charts for process dispersion monitoring. The Tippett’s integral formulae for sample relative range moments and distribution are revisited and simpler new alternative expressions are proposed t...

This study investigates the statistical process control application for monitoring queue length data in M/G/1 systems. Specifically, we studied the average run length (ARL) characteristics of two different control charts for detecting changes in system utilization. First, the nL chart monitors the sums of successive queue length samples by subgrouping individual observations with sample size n....