Logo image
An overview of theory and practice on process capability indices for quality assurance
Journal article   Peer reviewed

An overview of theory and practice on process capability indices for quality assurance

Chien-Wei Wu, W.L. Pearn and Samuel Kotz
International Journal of Production Economics, Vol.117(2), pp.338-359
02/2009

Abstract

Expected relative loss Fraction non-conforming Process capability indices Process consistency Process relative departure Quality assurance
Process capability indices (PCIs), C p , C a , C pk , C pm , and C pmk have been developed in certain manufacturing industry as capability measures based on various criteria, including process consistency, process departure from a target, process yield, and process loss. It is noted in certain recent quality assurance and capability analysis works that the three indices, C pk , C pm , and C pmk provide the same lower bounds on the process yield. In this paper, we investigate the behavior of the actual process yield, in terms of the number of non-conformities (in ppm), for processes with fixed index values of C pk =C pm =C pmk , possessing different degrees of process centering. We also extend Johnson's [1992. The relationship of C pm to squared error loss. Journal of Quality Technology 24, 211-215] result formulating the relationship between the expected relative squared loss and PCIs. Also a comparison analysis among PCIs is carried out based on various criteria. The result illustrates some advantages of using the index C pmk over the indices C pk and C pm in measuring process capability (yield and loss), since C pmk always provides a better protection for the customers. Additionally, several extensions and applications to real world problem are also discussed. The paper contains some material presented in the Kotz and Johnson [2002. Process capability indices-a review, 1992-2000. Journal of Quality Technology 34(1), 1-19] survey but from a different perspective. It also discusses the more recent developments during the years 2002-2006. © 2009 Elsevier B.V. All rights reserved.

Metrics

1 Record Views

Details

Logo image