Abstract

Reliability engineering is today a well-established field, accounting for many scientific journals and conferences, educational programmes and courses, academic positions and societies. There are also many standards which guide the practice of reliability engineering, and every year a number of scientific papers are published which address reliability engineering issues. Yet the area faces many challenges, in particular when addressing systems characterised by large uncertainties, and accurate prediction models are not easily established. We see alternative analysis perspectives being advocated, with varying degrees of theoretical justification. This article argues that there is potential for improvements to be made in terms of both theoretical frameworks and the practice of reliability engineering to meet these challenges and guide reliability engineers and decision-makers. Examples relate to the understanding and treatment of uncertainties, and the use of ideas and methods from risk management. Clear recommendations are provided on how to obtain such improvements.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.