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Design of Supply Chain Networks with Supply Disruptions using Genetic Algorithm

Author

Listed:
  • Taha, Raghda
  • Abdallah, Khaled
  • Sadek, Yomma
  • El-Kharbotly, Amin
  • Afia, Nahid

Abstract

The design of supply chain networks subject to disruptions is tackled. A genetic algorithm with the objective of minimizing the design cost and regret cost is developed to achieve a reliable supply chain network. The improvement of supply chain network reliability is measured against the supply chain cost.

Suggested Citation

  • Taha, Raghda & Abdallah, Khaled & Sadek, Yomma & El-Kharbotly, Amin & Afia, Nahid, 2014. "Design of Supply Chain Networks with Supply Disruptions using Genetic Algorithm," MPRA Paper 58062, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58062
    as

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    File URL: https://mpra.ub.uni-muenchen.de/58062/1/MPRA_paper_58062.pdf
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    References listed on IDEAS

    as
    1. Lian Qi & Zuo-Jun Max Shen & Lawrence V. Snyder, 2010. "The Effect of Supply Disruptions on Supply Chain Design Decisions," Transportation Science, INFORMS, vol. 44(2), pages 274-289, May.
    2. Baghalian, Atefeh & Rezapour, Shabnam & Farahani, Reza Zanjirani, 2013. "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case," European Journal of Operational Research, Elsevier, vol. 227(1), pages 199-215.
    3. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Supply chain; Disruptions; Genetic Algorithm;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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