A Holonic Multi-agent Model for Oil Industry Supply Chain Management

  • Fernando J. M. Marcellino
  • Jaime S. Sichman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6433)

Abstract

Very few industries can benefit more from maximizing supply chain efficiencies than the oil and gas companies [1]. However, the behavior of such systems is too complex to be treated analytically. On the other hand, multi-agent systems show great similarity with respect to supply chains, and provide the flexibility to model the complexities and dynamics of real world chains without excessive simplifying assumptions. Since supply chain management deals with a recursive structure, it becomes appropriate to employ holonic agents for its modeling. Thus, this work aims at developing a holonic multi-agent model for a typical oil industry supply chain. A simple case study is analyzed as a proof-of-concept of the proposed approach. The obtained results motivate us to continue extending the model in order to make it more realistic.

Keywords

Oil Industry Supply Chains Multi-Agent Systems Holonic Agents 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Chima, M.C.: Supply-Chain Management Issues in the Oil and Gas Industry. Journal of Business & Economics Research 5(6) (June 2007)Google Scholar
  2. 2.
    Beamon, B.M.: Supply Chain Design and Analysis: Models and Methods. International Journal of Production Economics 55, 281–294 (1998)CrossRefGoogle Scholar
  3. 3.
    Graudina, V., Grundspenkis, J.: Technologies and Multi-Agent System Architectures for Transportation and Logistics Support: An Overview. In: International Conference on Computer systems and Technologies – CompSysTech, pp. IIIA.6-1–IIIA.6-2 (2005)Google Scholar
  4. 4.
    Swaminathan, J.M., Smith, S.F., Sadeh, N.M.: Modeling Supply Chain Dynamics: a Multiagent Approach. Decision Sciences 29(3) (Summer 1998)Google Scholar
  5. 5.
    Mele, F.D., Guilln, G., Espua, A., Puigjaner, L.: A Simulation-Based Optimization Framework for Parameter Optimization of Supply-Chain Networks. Industrial & Engineering Chemistry Research 45(9) (2006)Google Scholar
  6. 6.
    Hilaire, V., Koukam, A., Rodriguez, S.: An Adaptative Agent Architecture for Holonic Multi-Agent Systems. ACM Transactions on Autonomous and Adaptive Systems 3(1), Article 2 (March 2008) Google Scholar
  7. 7.
    Koestler, A.: The Ghost in the Machine. Hutchinson & Co., London (1967)Google Scholar
  8. 8.
    Gerber, C., Siekmann, J., Vierke, G.: Holonic Multi-Agent Systems. In: Research Report RR-99-03, DFKI (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Fernando J. M. Marcellino
    • 1
  • Jaime S. Sichman
    • 1
  1. 1.LTIUniversity of São PauloSão PauloBrazil

Personalised recommendations