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...

The integration of the curtailment method with control charts considerably improves detection speed by signalling an out-of-control condition prior to inspection whole sample. To date, few research works have focused on incorporation improve performance charts. Thus, this paper incorporates approach synthetic chart propose a (Curt_Syn) for detecting upward shifts in fraction non-conforming, p. ...

Control charts are one of the tools in statistical process control widely used for monitoring, measuring, controlling, improving quality, and detecting problems processes various fields. The average run length (ARL) can be to determine efficacy a chart. In this study, we develop new modified exponentially weighted moving (EWMA) chart derive explicit formulas both two-sided ARLs p-order autoregr...

In many industrial manufacturing processes, the quality of products can depend on relative amount between two characteristics X and Y. Often, this calls for on-line monitoring ratio Z=X/Y as a characteristic itself by means control chart. A large number charts have been investigated in literature under assumption independent normal observations characteristics. practice, due to high frequency s...

Micro-manufacturing processes are characterized by high process variability and an increased significance of measurement uncertainty in relation to tight tolerance specifications. Therefore, an approach that separates the superposition of measurement and manufacturing variation is demanded. A novel design for a quality control chart that makes it possible to monitor, control and extract measure...

Nonparametric control charts are useful in statistical process control (SPC) when there is a lack of or limited knowledge about the underlying process distribution, especially when the process measurement is multivariate. This paper develops a new multivariate self-starting methodology for monitoring location parameters. It is based on adapting the multivariate spatial rank to on-line sequentia...

Financial surveillance is an interesting area after financial crisis in recent years. In this subject, important financial indices are monitored using control charts. Control chart is a powerful instrument for detecting assignable causes which is considerably developed in industrial and service environments. In this paper, a monitoring procedure based on Shewhart control chart is proposed to mo...