Distribution-free (nonparametric) control charts can be useful to the quality practitioner when the underlying distribution is not known. A Phase II nonparametric CUSUM chart based on the exceedance statistics, called the exceedance CUSUM chart, is proposed here for detecting a shift in the unknown location parameter of a continuous distribution. The exceedance statistics can be more efficient ...

In some quality control applications, quality of a product or process can be characterized by a relationship between two or more variables that is typically referred to as profile. Moreover, in some situations, there are several correlated quality characteristics, which can be modeled as a set of linear functions of one explanatory variable. We refer to this as multivariate simple linear profil...

SP Aluminum is engaged in the manufacturing industry by producing cooking utensils. In its application, has tried to produce quality products satisfy consumers. However, there are still defects that appear products. Another problem product have not been handled seriously company. Based on these problems, this study utilizes 5 control methods from seven tools: flowchart, check sheets, p-chart, P...

A new method is developed for a fast identification of the stability situation of industrial processes. The proposed method includes two factor ratios of the control constants for the upper and lower control limits to process these constants. An indication ratio is then defined as the ratio of the maximum data range value to the difference between the maximum and average values for individual d...

In this paper, a Multivariate-Multistage Quality Control (MVMSQC) procedure is investigated. In this procedure discriminate analysis, linear regression and control chart theory are combined to control the means of correlated characteristics of a process, which involves several serial stages. Furthermore, the quality of the output at each stage depends on the output of the previous stage as well...

Control charts are generally use in quality control processes, especially the industrial sector, because they helpful to increase productivity. However, can also be used time series analysis. The residuals from model as observations constructing chart. Because there is only one variable observed, namely residual, chart Individual Moving Range (IMR). This study analysis accuracy of using IMR two...

In industrial processes, control charts are useful tools to monitor the quality of products and detect possibly out-of-control processes. While many types have been available for data analysts, they were developed by assuming that variables precisely measured. applications, however, measurement error is ubiquitous when falsely recorded investigators or imprecisely collected unadjusted machines....