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Reliability evaluation of network flows with stochastic capacity and cost constraint

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  • H. Salehi Fathabadi
  • M. Khodaei

Abstract

This paper addresses flow networks whose arcs have finite and independent random capacities. The reliability of such a system, that is the probability that d units of flow can be transmitted from the source node to the sink node with total cost at most equal to c, can be computed in terms of Minimal Path Vectors, named as (d, c)-MPs. In this paper, first, a method for computing the upper and lower bounds of the capacity cost of the system is proposed. The presented method shows how to compute a (d, c)-MP with the minimum capacity cost. Subsequently, we develop an algorithm, based on the computed bounds, to generate all (d, c)-MPs and then, the system reliability is calculated in terms of such (d, c)-MPs. The computational complexity of the proposed algorithm is also presented. At the end the solution procedure is illustrated by an example.

Suggested Citation

  • H. Salehi Fathabadi & M. Khodaei, 2012. "Reliability evaluation of network flows with stochastic capacity and cost constraint," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 4(4), pages 439-452.
  • Handle: RePEc:ids:ijmore:v:4:y:2012:i:4:p:439-452
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    Cited by:

    1. Mansur Babagana & Bello Gimba & Ibrahim Yusuf, 2016. "Introducing probabilistic models for redundant system reliability," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 26(1), pages 5-18.

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