Reliability Analysis for Degrading Systems with 100% Quality Inspection after Burn-In

Hao Peng and Qianmei Feng
Additional contact information
Hao Peng: Department of Industrial Engineering and Innovation Science, Eindhoven University of Technology, Eindhoven, The Netherlands
Qianmei Feng: Department of Industrial Engineering, University of Houston, Houston, TX, USA

International Journal of Business Analytics (IJBAN), 2014, vol. 1, issue 2, 34-47

Abstract: Integrated quality and reliability models should be developed to improve system performance simultaneously, because quality and reliability are inherently related in a sense that quality inspection and monitoring decisions impact anticipated reliability and failure time distributions. Especially for degrading systems, important decisions including burn-in, quality inspection and preventive maintenance should be incorporated into an integrated model considering manufacturing variability and associated failure mechanisms. For various linear and non-linear degradation models, this paper develops conditional reliability functions and truncated failure time distributions considering the impacts of burn-in and quality inspection at manufacturing phase. It shows that burn-in and quality inspection policies have significant impacts on reliability performance of products in field operation. Numerical examples are provided to demonstrate the results. The developed reliability models can be readily used for optimizing burn-in, quality inspection and maintenance decisions simultaneously.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 018/ijban.2014040103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jban00:v:1:y:2014:i:2:p:34-47

Access Statistics for this article

International Journal of Business Analytics (IJBAN) is currently edited by John Wang

More articles in International Journal of Business Analytics (IJBAN) from IGI Global
Bibliographic data for series maintained by Journal Editor ().