Applying Bayes linear methods to support reliability procurement decisions

Tim Bedford, Richard Denning, Matthew Revie, Lesley Walls, IEEE

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Based on the prior belief stated by the decision maker and the observations made, the contractor, at this stage, has not given the decision maker sufficient evidence to suggest they are meeting all four reliability requirements. The model indicates the expectation of Vehicle B's basic reliability is greater than the target. However, the expectation of both of Vehicle A's reliability requirements and Vehicle B's mission requirement is lower than the target. In the case of Vehicle A, the probability of meeting the target is small. Extensive sensitivity analysis has been carried out to investigate whether or not the three reliability requirements currently not being met could be met given changes in the prior specification by the decision maker. Two scenarios of particular interest were investigated; first, what changes could be made to the prior expectation so that requirements are being met, and second, what changes could be made to the covariance structure in order that reliability requirements were met. For the three reliability requirements currently not met, the decision maker did not believe it was feasible to modify his prior belief structure to such an extent that the adjusted expectation of each of the three requirements was greater than the target.
Original languageEnglish
Pages341-346
Number of pages5
Publication statusPublished - 2008

Keywords

  • Bayes Linear Methods
  • Risk Assessment
  • Reliability Procurement
  • Sensitivity Analysis

Fingerprint Dive into the research topics of 'Applying Bayes linear methods to support reliability procurement decisions'. Together they form a unique fingerprint.

  • Cite this