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Production Engineering
Published in: Production Engineering 5/2018

14-05-2018 | Production Process

An attribute control chart using discriminant limits for monitoring process under the Weibull distribution

Authors: Muhammad Azam, Liaquat Ahmad, Muhammad Aslam, Chi-Hyuck Jun

Published in: Production Engineering | Issue 5/2018

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Abstract

A new efficient process monitoring scheme has been developed for a process under which the quality characteristic follows the Weibull distribution. Recently control charts using discriminant limits for process monitoring for a normal distribution have been developed. But, there are many situations in which the distribution of underlying data is not normal. So, the application of such chart to a skewed distribution like the Weibull distribution may lead to erroneous conclusions. In this paper, an attribute chart using discriminant limits for the Weibull distribution has been developed. The parameters of the proposed chart have been determined by considering the in-control average run lengths. An example using the simulation data has been included for the practical use of the proposed scheme. It has been observed that the proposed chart is efficient for the quick detection of an out-of-control process. A real example from a healthcare area is also added to show the application of the proposed control chart.
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Appendix
Available only for authorised users
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Metadata
Title
An attribute control chart using discriminant limits for monitoring process under the Weibull distribution
Authors
Muhammad Azam
Liaquat Ahmad
Muhammad Aslam
Chi-Hyuck Jun
Publication date
14-05-2018
Publisher
Springer Berlin Heidelberg
Published in
Production Engineering / Issue 5/2018
Print ISSN: 0944-6524
Electronic ISSN: 1863-7353
DOI
https://doi.org/10.1007/s11740-018-0833-0

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