A mixed control chart for monitoring failure times under accelerated hybrid censoring.
- Resource Type
- Academic Journal
- Authors
- Aslam M; Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.; Raza MA; Department of Statistics, Government College University Faisalabad, Faisalabad, Pakistan.; School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, People's Republic of China.; Sherwani RAK; College of Statistical and Actuarial Sciences, University of the Punjab, Lahore, Pakistan.; Farooq M; Department of Statistics, Government College University, Lahore, Pakistan.; Jeong JY; Department of Industrial and Management Engineering, POSTECH, Pohang, Republic of Korea.; Jun CH; Department of Industrial and Management Engineering, POSTECH, Pohang, Republic of Korea.
- Source
- Publisher: Routledge, Taylor & Francis Country of Publication: England NLM ID: 9883455 Publication Model: eCollection Cited Medium: Print ISSN: 0266-4763 (Print) Linking ISSN: 02664763 NLM ISO Abbreviation: J Appl Stat Subsets: PubMed not MEDLINE
- Subject
- Language
- English
- ISSN
- 0266-4763
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.
Competing Interests: No potential conflict of interest was reported by the authors.
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