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Estimating process capability index C_pk: classical approach versus Bayesian approach

Author： Pearn Wen Lea Wu Chin Chieh Wu Chia Huang

Publisher： Taylor & Francis Ltd

E-ISSN： 1563-5163|85|10|2007-2021

ISSN： 0094-9655

Source： Journal of Statistical Computation and Simulation, Vol.85, Iss.10, 2015-07, pp. : 2007-2021

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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Abstract

Process capability index C_pk has been the most popular one used in the manufacturing industry dealing with problems of measuring reproduction capability of processes to enhance product development with very low fraction of defectives. In the manufacturing industry, lower confidence bound (LCB) estimates the minimum process capability providing pivotal information for quality engineers to monitoring the process and assessing process performance for quality assurance. The main objective of this paper is to compare and contrast the LCBs on C_pk using two approaches, Classical method and Bayesian method.

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