نتایج جستجو برای: multivariate process hotelling t2 control chart multi
تعداد نتایج: 2974117 فیلتر نتایج به سال:
The world of education is one aspect life that has been affected by Covid-19, so on March 17, 2020 the Ministry Education and Culture issued a Circular regarding online learning. Andalas University Mathematics Undergraduate Study Program study programs at also implements an learning process. In this study, evaluation will be carried out based Statistics I II courses in odd semester 2019/2020 ev...
Endpoint detection is very important undertaking on the side of getting a good understanding and figuring out if a plasma etching process is done in the right way, especially if the etched area is very small (0.1%). It truly is a crucial part of supplying repeatable effects in every single wafer. When the film being etched has been completely cleared, the endpoint is reached. To ensure the desi...
In many quality control applications, the necessary distributional assumptions to correctly apply the traditional parametric control charts are either not met or there is simply not enough information or evidence to verify the assumptions. It is well known that performance of many parametric control charts can be seriously degraded in situations like this. Thus, control charts that do not requi...
In this paper a multivariate quality control procedure is offered in which several correlated stages are present in production systems and in each stage there are several correlated control variable. Using Hotelling's T2 statistic, first, each stage is tested for being out of control. Then out of control variables are selected using Murphy's method. The remainder of the research involves evalua...
The principal function of a control chart is to help management distinguish different sources of variation in a process. Control charts are widely used as a graphical tool to monitor a process in order to improve the quality of the product. Chen and Hsieh (2007) have designed a T2 control chart using a Variable Sampling Size and Control limits (V SSC) scheme. They have shown that using the V SSC...
Hotelling T 2 control chart not only reflects the correla-tions between different quality characteristics but also has good efficiency on monitoring multivariate in production process. A new alternative was constructed after original products data are processed by using exponentially weighted moving average for cumulating failure effects because is ineffective detecting minimal mean deviations....
In some statistical process control applications, the process data are not Normally distributed and characterized by the combination of both variable and attributes quality characteristics. Despite different methods which are proposed separately for monitoring multivariate and multi-attribute processes, only few methods are available in the literature for monitoring multivariate-attribute proce...
The scientific literature is abundant regarding control charts in multivariate environments for numerical and mixed data; however, there are few publications qualitative data. Qualitative variables provide valuable information on processes various industrial, productive, technological, health contexts. Social no exception. There multiple nominal ordinal categorical used economics, psychology, l...
An in-line monitoring method for the elution process of Ginkgo biloba L. leaves using visible and near-infrared spectroscopy in conjunction with multivariate statistical control (MSPC) was established. Experiments, including normal operating batches abnormal ones, were designed carried out. The MSPC model developed validated. abnormalities detected successfully by charts principal component sco...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید