Evaluating the reliability of a stochastic distribution network in terms of minimal cuts

Yi Feng Niu; Zi You Gao; Hing Keung William Lam

doi:10.1016/j.tre.2017.01.008

Evaluating the reliability of a stochastic distribution network in terms of minimal cuts

Yi Feng Niu
, Zi You Gao
, Hing Keung William Lam

Research output: Journal article publication › Journal article › Academic research › peer-review

52 Citations (Scopus)

Abstract

To improve the efficiency of solving d-minimal cuts, a novel technique is developed to determine the minimal capacities of arcs. Also, two new judging criteria are proposed to detect duplicate d-minimal cuts. Both theoretical and computational results indicate that our algorithm outperforms the existing methods. Furthermore, a real case study is provided to illustrate the application of the algorithm.

Original language	English
Pages (from-to)	75-97
Number of pages	23
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	100
DOIs	https://doi.org/10.1016/j.tre.2017.01.008
Publication status	Published - 1 Apr 2017

Keywords

D-minimal cut
Minimal cut
Reliability
Stochastic distribution network

ASJC Scopus subject areas

Business and International Management
Civil and Structural Engineering
Transportation

More information

10.1016/j.tre.2017.01.008

http://hdl.handle.net/10397/101271

Cite this

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AB - To improve the efficiency of solving d-minimal cuts, a novel technique is developed to determine the minimal capacities of arcs. Also, two new judging criteria are proposed to detect duplicate d-minimal cuts. Both theoretical and computational results indicate that our algorithm outperforms the existing methods. Furthermore, a real case study is provided to illustrate the application of the algorithm.

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KW - Minimal cut

KW - Reliability

KW - Stochastic distribution network

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DO - 10.1016/j.tre.2017.01.008

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JO - Transportation Research Part E: Logistics and Transportation Review

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ER -

Evaluating the reliability of a stochastic distribution network in terms of minimal cuts

Abstract

Keywords

ASJC Scopus subject areas

More information

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