Control of Control Charts
نویسنده
چکیده
O, ye who believe! If ye will aid, (the cause of) God, He will aid you, and plant your feet firmly. Verily, with every difficulty there is relief. Therefore, when thou art free (from thine immediate task), still labour hard. And to thy Lord turn (all) thy attention.
منابع مشابه
On the non-parametric multivariate control charts in fuzzy environment
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...
متن کاملConstruction of α-cut fuzzy X control charts based on standard deviation and range using fuzzy triangular numbers
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 a...
متن کاملFUZZY CONTROL CHARTS FOR VARIABLE AND ATTRIBUTE QUALITY CHARACTERISTICS
This paper addresses the design of control charts for both variable ( x chart) andattribute (u and c charts) quality characteristics, when there is uncertainty about the processparameters or sample data. Derived control charts are more flexible than the strict crisp case, dueto the ability of encompassing the effects of vagueness in form of the degree of expert’spresumption. We extend the use o...
متن کاملMonitoring and Diagnosing Multistage Processes: A Review of Cause Selecting Control Charts
A review of the literature on cause selecting charts (CSCs) in multistage processes is given, with a concentration on developments which have occurred since 1993. Model based control charts and multiple cause selecting charts (MCSCs) are reviewed. Several articles based on normally and non-normally distributed outgoing quality characteristics are analyzed and important issues such as economic d...
متن کاملNonparametric Shewhart-type Quality Control Charts in Fuzzy Environment
Nonparametric control charts are presented in order to figure out the problem of detecting changes in the process median (or mean), or changes in the variability process where there is limited knowledge regarding the underlying process. When observations are reported imprecise, then it is impossible to use classical nonparametric control charts. This paper is devoted to the problem of c...
متن کاملFuzzy rules for fuzzy $overline{X}$ and $R$ control charts
Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the process. Fuzzy data exist ubiquitously in the ...
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