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))...

For non-normal Pearsonian processes, Clements proposed a method for calculating estimators of the two basic process capability indices Cp and Cpk. Pearn and Kotz applied Clements' method to obtain estimators for the other two more advanced process capability indices Cpm and Cpmk. Their considerations on those indices, however, are restricted to processes with symmetric tolerances. Recently, Pea...

Process capability analysis is designed to estimate the proportion of parts that do not meet engineering requirements in a stable production process. In this paper, we review and criticize the capability indices typically used in industry for this purpose, and propose a general multivariate Bayesian capability index which contains the conventional index as a limiting case. We further derive its...

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)) ...

Capability indices compare the actual performance of a manufacturing process to the desired performance. In practice these indices are estimated using sample data, often with quite small sample sizes. Thus, it is of interest to obtain confidence limits for actual capability index given a sample estimate. Most of the traditional methods for assessing the capability of manufacturing process are d...

In this paper, we consider the supplier selection problem for normally distributed processes with multiple independent characteristics based on process capability index A two-phase testing procedure based on the quotient of two statistics is proposed to deal with the problem. We obtain the sampling distribution and the probability density function of the quotient. Several tables of the critical...

Nowadays, firm have realized the importance of information technology as an essential tool for the success of business. Accessing the applicability of information technology might be the main expectation of the firm for outsourcing. By outsourcing, firms can have access to advanced technologies and use external sources for their goal. The aim of this study is to analyze the impact of interactio...

A manufacturing process cannot be released to production until it has been proven to be stable. Also, we cannot begin to talk about process capability until we have demonstrated stability in our process. This means that the process variation is the result of random causes only and all assignable or special causes have been removed. In complicated manufacturing processes, such as drilling proces...

Nowadays, firm have realized the importance of information technology as an essential tool for the success of business. Accessing the applicability of information technology might be the main expectation of the firm for outsourcing. By outsourcing, firms can have access to advanced technologies and use external sources for their goal. The aim of this study is to analyze the impact of interactio...

Recent years have seen mounting interest in measuring process performance in the manufacturing industry. Analysis of process capability indices allows a production department to trace and improve a poor process to enhance quality and satisfy customers. Process capability analysis can also serve as an important reference in determining strategies to improve global product quality. Since Cp and C...