Model Based on Bayesian Networks for Monitoring Events in a Supply Chain

  • Erica Fernández
  • Enrique Salomone
  • Omar Chiotti
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 338)


The execution of supply process orders in a supply chain is conditioned by different types of disruptive events that must be detected and solved in real time. This requires the ability to proactively monitor, analyze and notify disruptive events. In this work we present a model that captures this functionality and was used as the foundation to design a software agent. A reactive-deliberative hybrid architecture provides the ability to proactively detect, analyze and notify disruptive events that take place in a supply chain. For the deliberative performance of the agent, a cause-effect relation model based on a Bayesian network with decision nodes is proposed.


supply chain event management agent Bayesian Networks 


  1. 1.
    Masing, N.: SC Event Management as Strategic Perspectiva – Market Study: SCEM Software Performance in the European Market. Master Thesis. Universitié du Québec en Outaouasis (2003)Google Scholar
  2. 2.
    Zimmermann, R.: Agent-based Supply Network Event Management. In: Walliser, M., Brantschen, S., Calisti, M., Hempfling, T. (eds.). Whitestein Series in Software Agent Techonologies (2006)Google Scholar
  3. 3.
    Montgomery, N., Waheed, R.: Event Management Enables Companies To Take Control of Extended Supply Chains. AMR Research (2001)Google Scholar
  4. 4.
    Tai-Lang, Y.: An Exception Handling Method of Order Fulfillment Process in the i-Hub Supported Extended Supply Chain. Master’s Thesis, National Central University, Institute of Industrial Management, Taiwan (2002)Google Scholar
  5. 5.
    Chin-Hung, C.: Assessing Dependability of Order Fulfillment in the i-Hub Supported Extended Supply Chain. Master’s Thesis, National Central University, Institute of Industrial Management, Taiwan (2002)Google Scholar
  6. 6.
    Liu, E., Akhil, K., Van Der Aalst, W.: A formal modeling approach for Supply Chain Event Management. Decision Support Systems 43, 761–778 (2007)CrossRefGoogle Scholar
  7. 7.
    Maheshwari, P., Sharon, S.: Events-Based Exception Handling in Supply Chain Management using Web Services. In: Proceedings of the Advanced International Conference on Internet and Web Applications and Services (2006)Google Scholar
  8. 8.
    Zimmermann, R.: Agent-based Supply Network Event Management. Verlag (2006)Google Scholar
  9. 9.
    Kurbel, K., Schreber, D.: Agent-Based Diagnostics in Supply Networks. Issues in Information Systems VIII(2) (2007)Google Scholar
  10. 10.
    Hoffmann, O., Deschner, D., Reinheimer, S., Bodendorf, F.: Agent- Supported Information Retrieval in the Logistic Chain. In: Proceeding of the 32nd Hawaii International Conference on System Sciences, Maui (1999)Google Scholar
  11. 11.
    Kärkkäinen, M., Främling, K., Ala-Risku, T.: Integrating Material and Information Flows Using a Distributed Peer-to-Peer Information System. In: Collaborative Systems for Production Management, Boston, pp. 305–319 (2003)Google Scholar
  12. 12.
    Jensen, F.: An Introduction to Bayesian Networks. Springer, New York (1996)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Erica Fernández
    • 1
  • Enrique Salomone
    • 1
  • Omar Chiotti
    • 1
    • 2
  1. 1.INGARCONICETArgentina
  2. 2.CIDISIUTN FRSFArgentina

Personalised recommendations