in statistical quality control a very widely used measure is average run length (arl) which may be worked out by different methods like integral equation, approximations, and monte carlo simulations. the arl measure and the other related measures are of major significance in every type of production process. an omission in its computation (and hence its related measures such as extra quadratic ...

Statistical control charts are useful tools in monitoring the state of a manufacturing process. Control charts are used to plot process data and compare it to the limits set for the process. Points plotting outside these limits indicate an out-of-control condition. Standard control charting procedures, however, are limited in that they cannot take into account the case when data is of a fuzzy n...

GIS-based “Regional Agricultural Economic Information Query and Analysis System” built on spatial attribute characteristics of statistical information implements dynamic information query, dynamic generation of statistical charts and tables, and dynamic generation of spatial distribution map with geographic attributes and specialized charts, and provides a solid basis for researching geographic...

Standard control chart practice assumes normality and uses estimated parameters. Because of the extreme quantiles involved, large relative errors result. Here simple corrections are derived to bring such estimated charts under control. As a criterion, suitable exceedance probabilities are used.

Although it is well known that the performance of attribute control charts decreases significantly when assumption process parameters invalid, this prevalent in pertinent literature. However, most practical applications, have to be estimated from a finite in-control Phase I sample, and therefore should evaluated perspective parameters. In paper, we compare run length properties hypergeometric n...

Present research proposes a framework that integrates aspect-level sentiment analysis with multi-criteria decision making (TOPSIS) and control charts to uncover hidden quality patterns. While quantifies consumer opinions corresponding various product features, TOPSIS uses the scores rank manufacturers based on their relative performance. Finally, U P assist in discovering weak aspects attribute...

Multivariate control chats are generally used in situations where the simultaneous monitoring or control of two or more related quality characteristics is necessary. In most processes in the real world, distribution of the process characteristics are unknown or at least non-normal, so the non-parametric or distribution-free charts are desirable. Most non-parametric statistical process-control t...