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
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chima, M.C.: Supply-Chain Management Issues in the Oil and Gas Industry. Journal of Business & Economics Research 5(6) (June 2007)
Beamon, B.M.: Supply Chain Design and Analysis: Models and Methods. International Journal of Production Economics 55, 281–294 (1998)
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)
Swaminathan, J.M., Smith, S.F., Sadeh, N.M.: Modeling Supply Chain Dynamics: a Multiagent Approach. Decision Sciences 29(3) (Summer 1998)
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)
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)
Koestler, A.: The Ghost in the Machine. Hutchinson & Co., London (1967)
Gerber, C., Siekmann, J., Vierke, G.: Holonic Multi-Agent Systems. In: Research Report RR-99-03, DFKI (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marcellino, F.J.M., Sichman, J.S. (2010). A Holonic Multi-agent Model for Oil Industry Supply Chain Management. In: Kuri-Morales, A., Simari, G.R. (eds) Advances in Artificial Intelligence – IBERAMIA 2010. IBERAMIA 2010. Lecture Notes in Computer Science(), vol 6433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16952-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-16952-6_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16951-9
Online ISBN: 978-3-642-16952-6
eBook Packages: Computer ScienceComputer Science (R0)