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Hybrid Multi-objective Mathematical Optimization: Optimal Control Model for Proactive Supply Chain Recovery Planning

In: Structural Dynamics and Resilience in Supply Chain Risk Management

Author

Listed:
  • Dmitry Ivanov

    (Berlin School of Economics and Law)

Abstract

We investigate a multi-stage supply chain that displays the following characteristics in line with recent studies (Amiri 2006; Manzini and Bindi 2009; Ivanov et al. 2014, 2015, 2016, 2017; Sawik 2016): (i) system performance depends on its ability to execute despite perturbations; (ii) some system elements may become unavailable because of disruptions in the supply chain, and (iii) the system experiences performance degradation if some of its elements fail.

Suggested Citation

  • Dmitry Ivanov, 2018. "Hybrid Multi-objective Mathematical Optimization: Optimal Control Model for Proactive Supply Chain Recovery Planning," International Series in Operations Research & Management Science, in: Structural Dynamics and Resilience in Supply Chain Risk Management, chapter 0, pages 161-201, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-69305-7_6
    DOI: 10.1007/978-3-319-69305-7_6
    as

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