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Research Article · Open access · Published 10 January 2019

Optimal Components Assignment Problem for Stochastic-Flow Networks

Abdellah Aissou1, Abdelhamid Daamouche2 & Moatamad Refaat Hassan3

Journal of Computer Science, Volume 15, Issue 1, pp. 108–117 · doi.org/10.3844/jcssp.2019.108.117

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Abstract

Components assignment problem to maximize the network reliability in the case of each component has both an assignment cost and lead-time is never discussed. Therefore, this paper focuses on solving this problem under the above mentioned constraints. The presented problem is called an Optimal Components Assignment Problem (OCAP) and it is formulated based on three constraints namely total assignment cost, total lead-time and system reliability. Also, an approach based on a Random Weighted Genetic Algorithm (RWGA) is presented to solve the OCAP. The results revealed that an optimal components assignment leads to the maximum reliability, minimum assignment cost and minimum total lead-time using the proposed approach.

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Aissou, A., Daamouche, A. & Hassan, M. R. (2019). Optimal Components Assignment Problem for Stochastic-Flow Networks. Journal of Computer Science, 15(1), 108–117. https://doi.org/10.3844/jcssp.2019.108.117

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Optimal Components Assignment Problem for Stochastic-Flow NetworksJournal of Computer Science · Volume 15, Issue 1 · pp. 108–117 · CC BY 3.0Download