Literature DB >> 35707232

A mixed control chart for monitoring failure times under accelerated hybrid censoring.

Muhammad Aslam1, Muhammad Ali Raza2,3, Rehan Ahmad Khan Sherwani4, Muhammad Farooq5, Jun Yong Jeong6, Chi-Hyuck Jun6.   

Abstract

In an accelerated hybrid censoring scheme several stress factors can be accelerated to make the products to respond to fail more quickly than under normal operating conditions. In such situations, the control charts available in the literature cover the attribute characteristics only to monitor the performance of the process over time. This study extends the idea by proposing an optimal mixed attribute-variable control chart for Weibull distribution under an accelerated hybrid censoring scheme keeping the advantages of both attribute and variable control charts. It first monitors the number of defectives under accelerated conditions and switches to the variable control chart to investigate the mean failure times when the process stability is dubious. The performance of the proposed chart is evaluated by using run-length characteristics, and the optimality of the design parameter is achieved by minimizing the out-of-control average run length. The simulation study depicted better performance of the proposed control chart than the traditional charts in detecting shifts in the process. A real-life application is also included.
© 2020 Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Mixed control chart; Weibull distribution; accelerated hybrid censoring; attribute chart; variable chart

Year:  2020        PMID: 35707232      PMCID: PMC9041950          DOI: 10.1080/02664763.2020.1713060

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.416


  1 in total

1.  An attribute control chart for a Weibull distribution under accelerated hybrid censoring.

Authors:  Muhammad Aslam; Osama H Arif; Chi-Hyuck Jun
Journal:  PLoS One       Date:  2017-03-03       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.