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A systematic approach for supply chain conflict detection with a hierarchical Petri Net extension

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  • Blackhurst, Jennifer
  • (Teresa) Wu, Tong
  • Craighead, Christopher W.

Abstract

Coordinating and managing distributed entities in a supply chain is a challenging task due, in part, to conflicts present in such systems. If not handled effectively, the conflict can degrade the performance of the system as a whole due to the fact that each individual entity may be working towards goals that sub-optimize the integrated system. Therefore, the ability to discover conflicts would be a valuable asset, particularly if the discovery occurred proactively. This paper presents a methodology, extending the concept of basic Petri Nets, to discover supply chain conflict before they occur and cause detrimental effects to system performance. The approach involves linking hierarchical levels of the supply chain system and detecting conflicts occurring when the single entities, each optimized for it own operations, are combined together in a supply chain. These conflicts are not obvious or intuitive in examining the single entities of the supply chain, but when integrated the conflicts are discovered by the methodology. We applied the proposed methodology on a real-world supply chain to illustrate the validity of the tool. Although, further research is needed to fully explore this method of conflict detection, we believe that this research does indeed provide some much needed insight into the daunting task of conflict discovery and therefore proactive handling of these potentially negative occurrences in the supply chain.

Suggested Citation

  • Blackhurst, Jennifer & (Teresa) Wu, Tong & Craighead, Christopher W., 2008. "A systematic approach for supply chain conflict detection with a hierarchical Petri Net extension," Omega, Elsevier, vol. 36(5), pages 680-696, October.
  • Handle: RePEc:eee:jomega:v:36:y:2008:i:5:p:680-696
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    References listed on IDEAS

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    Cited by:

    1. Gabriel-Cristian CONSTANTINESCU, 2017. "Sources Of Supply Chain Conflicts – A Fishbone Diagram Correlation," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 13, pages 191-197, May.
    2. Garvey, Myles D. & Carnovale, Steven & Yeniyurt, Sengun, 2015. "An analytical framework for supply network risk propagation: A Bayesian network approach," European Journal of Operational Research, Elsevier, vol. 243(2), pages 618-627.
    3. Elahi, Mirza M. Lutfe & Rajpurohit, Karthik & Rosenberger, Jay M. & Zaruba, Gergely & Priest, John, 2015. "Optimizing real-time vehicle sequencing of a paint shop conveyor system," Omega, Elsevier, vol. 55(C), pages 61-72.
    4. Garvey, Myles D. & Carnovale, Steven, 2020. "The rippled newsvendor: A new inventory framework for modeling supply chain risk severity in the presence of risk propagation," International Journal of Production Economics, Elsevier, vol. 228(C).
    5. Ehie, Ike C., 2010. "The impact of conflict on manufacturing decisions and company performance," International Journal of Production Economics, Elsevier, vol. 126(2), pages 145-157, August.

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