A behavior-based process for evaluating availability achievement risk using stochastic activity networks

Steven T. Beaudet, Tod Courtney, William H. Sanders

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the increased focus on the availability of complex, multifunction systems, modeling processes and analysis tools are needed that help the availability systems engineer understand the impact of architectural and logistics design choices concerning system availability. Because many fielded systems are required to achieve a specified minimal availability over a short measurement period, a modeling methodology must also support computation of the distribution of operational availability for the specified measurement period. This paper describes a two-part behavior-based availability achievement risk methodology that starts with a description of the system's availability-related behavior followed by a stochastic activity network-based simulation to obtain numeric estimate of expected availability and the distribution of availability over a selected time frame. The process shows how the system engineer freed to explore complex behavior not possible with combinatorial estimation methods in wide use today.

Original languageEnglish (US)
Title of host publicationAnnual Reliability and Maintainability Symposium, RAMS'06 - 2006 Proceedings
Pages21-28
Number of pages8
DOIs
StatePublished - Dec 1 2006
Event2006 Annual Reliability and Maintainability Symposium, RAMS'06 - Newport Beach, CA, United States
Duration: Jan 23 2006Jan 26 2006

Publication series

NameProceedings - Annual Reliability and Maintainability Symposium
ISSN (Print)0149-144X

Other

Other2006 Annual Reliability and Maintainability Symposium, RAMS'06
Country/TerritoryUnited States
CityNewport Beach, CA
Period1/23/061/26/06

Keywords

  • Availability
  • Estimation
  • Modeling
  • Stochastic activity networks

ASJC Scopus subject areas

  • Engineering(all)

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