Sensitivity analysis on the reliability of a stochastic-ow network

Shin Guang Chen, Yi-Kuei Lin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The stochastic-ow network model has been applied to many real world applications such as information systems, telecommunication systems, transportation systems, and etc. Therefore, the technology of sensitivity analysis for a stochastic-ow network is important in practice. This paper proposes methods for analyzing the node sensitivity with re- spect to the system reliability of a stochastic-ow network. These include increasing-capacity contributivity analysis and decreasing-capacity impairment analysis. The former anal- ysis is in order to check those nodes which contribute reli- Ability most when adding resources into the network. The decreasing-capacity impairment analysis however is in order to inspect those nodes which hurt reliability most when de- creasing resources from the network. Some interesting find- ings are obtained. For example, the strategy of increase ca- pacity will not promise to contribute reliability. The strategy of decrease capacity will also not always to impair reliability. Numerical examples for these analyses are illustrated in this paper.

Original languageEnglish
Title of host publicationProceedings - 14th ISSAT International Conference on Reliability and Quality in Design
Pages274-278
Number of pages5
StatePublished - 1 Dec 2008
Event14th ISSAT International Conference on Reliability and Quality in Design - Orlando, FL, United States
Duration: 7 Aug 20089 Aug 2008

Publication series

NameProceedings - 14th ISSAT International Conference on Reliability and Quality in Design

Conference

Conference14th ISSAT International Conference on Reliability and Quality in Design
CountryUnited States
CityOrlando, FL
Period7/08/089/08/08

Keywords

  • Contributivity analysis
  • Sensitivity analysis
  • Stochastic-ow network
  • System reliability

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