Process capability indices (PCIs) can be viewed as effective and excellent means of measuring product quality and performance, but they are not sufficient for evaluating an entire product with multiple characteristics. [Chen, K.S., Huang, M.L., Li, R.K., 2001. Process capability analysis for an entire product. International Journal of Production Research 39(17), 4077–4087] proposed the process ...

To improve productivity and remain competitive, businesses nowadays introduce the process capability index (Cpm) to evaluate the quality of their products in an effort to improve them and cut down on operation costs. This is because Cpm can clearly reflect process loss and yield percentage (yield%) that it is widely used in the industry. When suppliers’ process capability is found to be limited...

Process capability indices provide numerical measures on whether a process conforms to the defined manufacturing capability prerequisite. These have been successfully applied by companies to compete with and to lead high-profit markets by evaluating the quality and productivity performance. The loss-based process capability index Cpm, sometimes called the Taguchi index, was proposed to measure ...

Many industrial products can be characterised as of the biggerthe-best type. Quality characteristics and process yields of a bigger-the-best type product can be evaluated by using a process capability index. The process capability index Cpl is used to evaluate quality characteristics and process yields of the bigger-the-best type products because the formulae for this index are easy to understa...

process capability indices (pcis) can be used as an effective tool for measuring product quality and process performance. in classic quality control there are some limitations which prevent a deep and flexible analysis because of the crisp definition of pca‟s parameters. fuzzy set theory can be used to add more flexibility to process capability analyses. in this study, the fuzzy x ba and mrx ba...

the classical method of process capability analysis necessarily assumes that collected data are independent; nonetheless, some processes such as biological and chemical processes are autocorrelated and violate the independency assumption. many processes exhibit a certain degree of correlation and can be treated by autoregressive models among which the autoregressive model of order one (ar (1)) ...

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 ...

This paper first enlists the generic problems of alloy wheel machining and subsequently details on the process improvement of the identified critical-to-quality machining characteristic of A356 aluminum alloy wheel machining process. The causal factors are traced using the Ishikawa diagram and prioritization of corrective actions is done through process failure modes and effects analysis. Proce...

A simple method is given to calculate the multivariate process capability index Cp * as defined by Taam et al. (1993) and discussed by Kotz & Johnson (1993). It is shown that using this index is equivalent to using the smallest univariate Cp -value to determine the capability of a process.

Over the past few years continuously new process capability indices have been developed, most of them with the aim to add some feature missed in former process capability indices. Thus, for nearly any thinkable situation now a special index exists which makes choosing a certain index as difficult as interpreting and comparing index values correctly. In this paper we propose the use of the expec...