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.
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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
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DOI: https://doi.org/10.1007/978-3-642-16952-6_25
Publisher Name: Springer, Berlin, Heidelberg
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