نتایج جستجو برای: multivariate process capability indices

تعداد نتایج: 1563574  

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 ...

2013
Babak Abbasi Seyed Taghi Akhavan Niaki

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...

R Noorossana S Raissi

Process capability indices show the ability of a process to produce products according to the pre-specified requirements. Since final quality characteristics of a product are usually interrelated to its previous amounts in earlier workstations, one need to model and consider the relationship among them to assess the process ca-pability properly. Hence, conducting process capability analysis in ...

Journal: :Industrial Management and Data Systems 2012
Jeh-Nan Pan Sheau-Chiann Chen

Purpose – The purpose of this paper is to explore the relationship between multivariate process capability indices and loss functions for both nominal-the-best and smaller-the-better cases, so the likelihood and consequences resulting from the nonconforming of a manufacturing process or an environmental system can be evaluated simultaneously. Design/methodology/approach – In this paper, the aut...

Journal: :Quality and Reliability Eng. Int. 2012
Michael Perakis Evdokia Xekalaki

The use of principal component analysis in measuring the capability of a multivariate process is an issue initially considered by Wang and Chen (1998). In this article, we extend their initial idea by proposing new indices that can be used in situations where the specification limits of the multivariate process are unilateral. Moreover, some new indices for multivariate processes are suggested....

Journal: :Quality and Reliability Eng. Int. 2010
Jeh-Nan Pan Chun-Yi Lee

Generally, an industrialproduct hasmore thanone quality characteristic. In order toestablish performance measures for evaluating the capability of a multivariate manufacturing process, several multivariate process capability indices have been developed in the past few years. Among them, Taam’s MCp and MCpm indices have the drawback of overestimation and Hubele’s three-component capability vecto...

S Raissi

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...

1998
Stefan Steiner Bovas Abraham

1. Introduction A process capability index is a numerical summary that compares the behavior of a product or process characteristic to engineering specifications. These measures are also often called capability or performance indices or ratios; we use capability index as the generic term. A capability index relates the voice of the customer (specification limits) to the voice of the process. A ...

2002
Evdokia Xekalaki Michael Perakis

1. Introduction Process capability indices are measures of the capability of a process to produce according to some assigned specifications related to some characteristics of the items produced. In most of the cases it is assumed that the studied process is described through only one characteristic. However, sometimes the need arises for measuring the capability of processes described through t...

Journal: :Brazilian Journal of Operations & Production Management 2011

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