Editor’s Note: This article and the first two accompanying discussions were presented orally at the Technomeirics session of the 33rd Annual Fall Technical Conference in Houston, Texas, October 25-27. 1989. The conference was cosponsored by the Chemical and Process Industries and the Statistics Divisions of the American Society for Quality Control and the Section on Physical and Engineering Sci...

Abstract In this article, an efficient mean chart for symmetric data have been presented multiple dependent state (MDS) sampling using neutrosophic exponentially weighted moving average (NEWMA) statistics. The existing charts are not capable of seizure the unusual changes threatened to manufacturing processes. control coefficients estimated symmetry property Gaussian distribution uncertain envi...

To detect sustainable changes in the manufacturing processes, memory-type charting schemes are frequently functioning. The recently designed, homogenously weighted moving average (HWMA) technique is effective for identifying substantial processes. make HWMA chart more persistent shifts industrial a double (DHWMA) has been proposed recently. This study intends to develop triple (THWMA) efficient...

A simple algorithm is introduced for computing the run length distribution of a monitoring scheme combining a Shewhart chart with an Exponentially Weighted Moving Average control chart. The algorithm is based on the numerical approximation of the integral equations and integral recurrence relations related to the run-length distribution. In particular, a modified Clenshaw-Curtis quadrature rule...

The basic purpose of the economic design of the control charts is to find the optimum control charts parameters to minimize the process cost. In this paper, an R package, edcc (economic design of control charts), which provides a numerical method to find the optimum chart parameters is presented using the unified approach of the economic design. Also, some examples are given to illustrate how t...

.Classifying streaming data requires the development of methods which are computationally efficient and able to cope with changes in the underlying distribution of the stream, a phenomenon known in the literature as concept drift. We propose a new method for detecting concept drift which uses an Exponentially Weighted Moving Average (EWMA) chart to monitor the misclassification rate of an strea...