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Entropy-Based Analysis and Quantification of Supply Chain Recoverability

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Handbook of Ripple Effects in the Supply Chain

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 276))

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Abstract

The problem of designing resilient supply chains at the semantic network level is considered. The entropy method is used to show the interrelations between supply chain design and recoverability. Easy-to-compute quantitative measures are proposed to estimate supply chain recoverability. For the first time, entropy-based supply chain analysis is brought into correspondence with supply chain structural recoverability and flexibility considerations downstream the supply chain. An exact and a heuristic computation algorithm are suggested and illustrated. The developed approach and recoverability measure can be used to select a resilient supply chain design in terms of potential recoverability.

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Author information

Authors and Affiliations

  1. Department of Business and Economics, Berlin School of Economics and Law, 10825, Berlin, Germany

    Dmitry Ivanov

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  1. Dmitry Ivanov
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Correspondence to Dmitry Ivanov .

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Editors and Affiliations

  1. Department of Business and Economics, Berlin School of Economics and Law, Berlin, Germany

    Dmitry Ivanov

  2. Department of Automation, Production and Computer Sciences, IMT Atlantique, LS2N - CNRS UMR, Nantes, France

    Alexandre Dolgui

  3. SPIIRAS, St. Petersburg, Russia

    Boris Sokolov

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Ivanov, D. (2019). Entropy-Based Analysis and Quantification of Supply Chain Recoverability. In: Ivanov, D., Dolgui, A., Sokolov, B. (eds) Handbook of Ripple Effects in the Supply Chain. International Series in Operations Research & Management Science, vol 276. Springer, Cham. https://doi.org/10.1007/978-3-030-14302-2_10

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