Sequencing reliability growth tasks using multiattribute utility functions

Kevin Wilson, John Quigley

Research output: Contribution to conferencePaper

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Abstract

In both hardware and software engineering, the reliability of systems improve
over the Test, Analyse and Fix (TAAF) cycle as reliability tasks are performed
and faults are designed out of the system. There are many possible tasks which could be carried out and a large numbers of sequences of these tasks possible. In this paper we consider the sequencing problem, taking into account the fact that the testing will be stopped once a reliability target is reached. We solve the problem by maximising the expectation of a two attribute utility function over cost and time on test. All marginal utilities are set to be risk averse. A reliability growth model based on the underlying engineering process is used. The method is illustrated with an example grounded in work with the aerospace industry.
Original languageEnglish
Number of pages8
Publication statusPublished - 2015
Event MMR2015 - the Ninth International Conference on Mathematical Methods in Reliability - Tokyo, Japan
Duration: 1 Jun 20154 Jun 2015

Conference

Conference MMR2015 - the Ninth International Conference on Mathematical Methods in Reliability
CountryJapan
CityTokyo
Period1/06/154/06/15

Keywords

  • reliability growth
  • utility
  • sequencing
  • Bayesian

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    Wilson, K., & Quigley, J. (2015). Sequencing reliability growth tasks using multiattribute utility functions. Paper presented at MMR2015 - the Ninth International Conference on Mathematical Methods in Reliability, Tokyo, Japan.