multivariate process capability indices on the presence of priority for quality characteristics

نویسندگان

s raissi

چکیده

multivariate process capability indices (mpci) show how well a manufacturing process can meet specifica-tion limits when quality characteristics enclose a relative correlation. process capability is an important and commonly used metric for assessing and improving the quality of a production process. when quality charac-teristics of a product are correlated then an attractive comes close to mpci methods, which are not usually an easy task to carry out. in this investigation after a full reviewing of the mpci, a simple method to estimate product capability indices based on ridge regression models in the presence of priority for quality characteris-tics is presented. the technique is demonstrated for evaluation of product capability through the use of an ex-ample which shows performance of the proposed method.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multivariate process capability indices on the presence of priority for quality characteristics

Multivariate Process Capability Indices (MPCI) show how well a manufacturing process can meet specifica-tion limits when quality characteristics enclose a relative correlation. Process capability is an important and commonly used metric for assessing and improving the quality of a production process. When quality charac-teristics of a product are correlated then an attractive comes close to MPC...

متن کامل

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 ...

متن کامل

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...

متن کامل

Developing New Multivariate Process Capability Indices for Autocorrelated Data

Traditionally, the process capability index is developed assuming that the process output data are independent and follow normal distribution. However, in most environmental cases, the process data have more than one quality characteristic and exhibit property of autocorrelation. We propose two novel multivariate process capability indices for autocorrelated data, NMACp and NMACpm for the-nomin...

متن کامل

On the multivariate process capability vector in fuzzy environment

The production of a process is expected to meet customer demands, specifications or engineering tolerances. The ability of a process to meet these expectations is expresed as a single number using a process capability index. When the quality of the products relates to more than one characteristic, multivariate process capability indices are applied. As it is known, in some circumstances we are ...

متن کامل

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...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
journal of industrial engineering, international

ISSN 1735-5702

دوره 5

شماره 9 2009

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023