Considering risk profiles in design optimization for series-parallel systems

David W. Coit, Alice E. Smith

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations

Abstract

The objective of the redundancy allocation problem is to select the parts to be used and a design configuration to optimize some objective function without violating system-level constraints. In this paper, the problem was formulated in a more general framework than has previously been accomplished, allowing for the explicit consideration of the risk-profile of system designers and users. Risk is related to the probability that a randomly selected system will be less reliable than a predicted or specified value. Previous formulations of the problem involved a maximization of the expected value of system reliability or the mean-time-to-failure, which implies that designers are risk-neutral. In this paper, both component reliability and time-to-failure are considered as random variables, and lower-bound limits are used in the optimization problem. The extent of the risk associated with a particular system design project was included in the problem formulations and influenced the final design decisions. These formulations were intended to more faithfully address the actual concerns and considerations of the engineering design community. The problems were then solved using a Genetic Algorithms (GAs). Several illustrative examples are provided which show different design configurations depending on the risk profile.

Original languageEnglish (US)
Pages (from-to)271-277
Number of pages7
JournalProceedings of the Annual Reliability and Maintainability Symposium
StatePublished - 1997
EventProceedings of the 1997 Annual Reliability and Maintainability Symposium - Philadelphia, PA, USA
Duration: Jan 13 1997Jan 16 1997

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Engineering (miscellaneous)

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