COMPARISON METHOD PROCESS CAPABILITY INDICES FOR NORMAL AND NON-NORMAL DATA BY USE SIMULATING.

Developing New Multivariate Process Capability Indices for Non-Normal Data

Generally, an industrial product has more than one quality characteristic. In order to establish performance measures for evaluating the capability of a multivariate manufacturing process, several multivariate process capability indices have been developed based on the assumption of normality. Quality characteristics of many manufacturing processes in the chemical, pharmaceutical and electronic...

Estimating Process Capability Indices of Multivariate Non-Normal Processes

The capability analysis of production processes where there are more than one correlated quality variables is a complicated task. The problem becomes even more difficult when these variables exhibit non-normal characteristics. In this paper, a new methodology is proposed to estimate process capability indices (PCIs) of multivariate non-normal processes. In the proposed methodology, the skewness...

Capability Indices for Rayleigh Process

Monitoring, control and improvement of quality are  important  for companies.  Process capability indices (PCIs) are tools widely used by the industries to determine  the quality of their products and the performance of their manufacturing processes. Classic versions of  these  indices were constructed for processes whose quality characteristics have  a  normal distribution. But, many of these ...

Functional process capability indices for nonlinear profile

A profile is a relationship between a response variable and one or more independent variables being controlled during the time. Process Capability Indices (PCI) are measured to evaluate the performance of processes in producing conforming products. Despite frequent applications of profile and a variety of available methods to monitor its different types, little researches have been carried out ...

Simulating Correlated Multivariate Normal Data