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 …

Purpose–In profile monitoring, which is a growing research area in the field of statistical
process control, the relationship between response and explanatory variables is monitored …

When the distribution of a process characterized by a profile is non normal, process
capability analysis using normal assumption often leads to erroneous interpretations of the …

Purpose: This study examines Clements' Approach (CA), Box-Cox transformation (BCT), and
Johnson transformation (JT) methods for process capability assessments through Weibull …

For process capability analysis of non-normal processes, the non-normal data are often
converted into normal data using transformation techniques, then use the conventional …

A process in control and capable of meeting customer requirements can enhance the
survival and growth of the business. The systematic use of process improvement …

Statistical concepts aim to develop essential disciplines dedicated to provide the basis and
concepts that illustrate the efficient employment of the statistical tools for supporting …

Most of the researches developed for single response and multi response optimization
problems are based on the normality assumption of responses, while this assumption does …

Because of more and more complexity of an operation environment in today's industrial
production process, it is difficult to monitor the process operation quality and to estimate the …

Process capability and performance indices (PCIs and PPIs) are used in industry to provide
numerical measures for the capability and performance of several processes. The majority of …