Adaptive control charts allow the components of the quality-monitoring scheme to vary in order to obtain improved performance over non-adaptive control charts. Research has centered on components such as the sample size, time between samples, warning limits, and control limits and has recommended a variety of schemes, many of which are optimal in some sense. In practice, there are many other ad...

In this paper, Hotelling’s 2 T chart and the DPCA(Dynamic PCA)-based 2 A T and Q charts are applied to real oil data histories obtained from condition monitoring of heavy hauler truck transmissions. The objective is to evaluate the impending failure detection capability and the false alarm rate of the control charts in a CBM (conditionbased maintenance) application. When applied to failure hist...

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...

Traditional statistical process control charts used to monitor key process variables are based on the assumption that measurements are independent and identically distributed about a target value. In practice they are not and often are actually correlated. Reliance on univariate charts can lead to misleading conclusions. This paper addresses the methods for improving the quality of industrial p...

Control charts with estimated control limits are widely used in practice. Common practice in control chart theory is to estimate the control limits using data from the process and once the process is determined to be in control to treat the resulting control limits as though fixed. Little is known about the run length distributions of these charts when the fact that control limits are estimated...

Defects Control Charts for High-Quality Processes

Finalement, je tiensà remercier ma famille et mes amis pour leur soutien et, tout simple-ment, pour leur présencè a mes côtés en toutes circonstances.

This article presents a control chart for time series data, based on the one-stepahead forecast errors of the Holt-Winters forecasting method. We use robust techniques to prevent that outliers affect the estimation of the control limits of the chart. Moreover, robustness is important to maintain the reliability of the control chart after the occurrence of alarm observations. The properties of t...