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Ripple Effect Analysis of Two-Stage Supply Chain Using Probabilistic Graphical Model

In: Handbook of Ripple Effects in the Supply Chain

Author

Listed:
  • Seyedmohsen Hosseini

    (University of Southern Mississippi)

  • MD Sarder

    (Bowling Green State University)

Abstract

Supply chain disruptions are increasingly caused by growing global supply sourcing, complexity, and interconnectedness of supply chains (SCs). A key challenge in the context of supply chain disruption management is to control and monitor the ripple effect of SCs. The ripple effect occurs when the impact of disruption cannot be localized and propagates throughout the SC. Like the bullwhip effect, the ripple effect can negatively impact performance both upstream and downstream of SC entities. This work proposes a new methodology, based on a probabilistic graphical model, to analyze the ripple effect in a two-stage SC. The probabilistic graphical model developed is capable of capturing disruption propagation that can transfer from upstream suppliers to downstream end customer in an SC.

Suggested Citation

  • Seyedmohsen Hosseini & MD Sarder, 2019. "Ripple Effect Analysis of Two-Stage Supply Chain Using Probabilistic Graphical Model," International Series in Operations Research & Management Science, in: Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov (ed.), Handbook of Ripple Effects in the Supply Chain, pages 181-191, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-14302-2_9
    DOI: 10.1007/978-3-030-14302-2_9
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