Entropy-Based Analysis and Quantification of Supply Chain Recoverability

Dmitry Ivanov ()
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Dmitry Ivanov: Department of Business and Economics, Berlin School of Economics and Law

A chapter in Handbook of Ripple Effects in the Supply Chain, 2019, pp 193-208 from Springer

Abstract: 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.

Keywords: Supply chain; Resilience; Complexity (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-14302-2_10

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DOI: 10.1007/978-3-030-14302-2_10

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