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Exact and heuristic methods for integrated supply chain design reliability analysis

Author

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  • Dmitry Ivanov
  • Alexander Pavlov
  • Boris Sokolov

Abstract

The ability to execute supply chains (SC) operations (in other words, to survive) despite the disturbances caused by a disruption is considered as SC design reliability. In the scope of this research is the analysis of what SC elements will survive (i.e., be in operation) after a disruption. In this study, we take the managerial perspective of the integrated SC and suggest the genome concept and its dual analogue to quantify the SC structure reliability. This method allows determining the upper bound and the approximate lower bound of the SC reliability. This result can be used by SC managers to compare different SC designs regarding the reliability. Subsequently, we extend the structure reliability analysis towards the trade-off 'reliability vs. efficiency'. In particular, it is shown that different forms of SC design structures with similar efficiency may significantly differ regarding reliability.

Suggested Citation

  • Dmitry Ivanov & Alexander Pavlov & Boris Sokolov, 2016. "Exact and heuristic methods for integrated supply chain design reliability analysis," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 10(2), pages 206-224.
    • Handle: RePEc:ids:ijisma:v:10:y:2016:i:2:p:206-224
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    Cited by:

    1. Alexander Pavlov & Dmitry Ivanov & Frank Werner & Alexandre Dolgui & Boris Sokolov, 2022. "Integrated detection of disruption scenarios, the ripple effect dispersal and recovery paths in supply chains," Annals of Operations Research, Springer, vol. 319(1), pages 609-631, December.
    2. Fattahi, Mohammad & Govindan, Kannan & Maihami, Reza, 2020. "Stochastic optimization of disruption-driven supply chain network design with a new resilience metric," International Journal of Production Economics, Elsevier, vol. 230(C).

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