Research Article
Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology
@ARTICLE{10.4108/eai.26-6-2018.155192, author={Jamal Maktoubian and Mehran Ghasempour-Mouziraji and Mohebollah Noori}, title={Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology}, journal={EAI Endorsed Transactions on Smart Cities}, volume={4}, number={9}, publisher={EAI}, journal_a={SC}, year={2018}, month={8}, keywords={Big Data, Agent-Based Modelling, Oil and Gas Supply Chain}, doi={10.4108/eai.26-6-2018.155192} }- Jamal Maktoubian
Mehran Ghasempour-Mouziraji
Mohebollah Noori
Year: 2018
Oil and Gas supply chain optimization using Agent-based modelling (ABM) integration with Big Data technology
SC
EAI
DOI: 10.4108/eai.26-6-2018.155192
Abstract
The worldwide oil & gas industry is one of the world's most complex business networks, and is connected with almost every supply chain branch. It includes international and domestic transportation, materials handling, ordering and inventory visibility and control, import/export facilitation and social network, etc. Traditionally, it has been influenced by big oilfield companies. However, in recent years the industry has been changing into a more heterogeneous and diverse network of businesses, and the oilfields are getting smaller and more diverse. One of the reason could be dwindling the oil reserves and growing specialized companies which are able to extract hydrocarbons; another reason is the restructuring and globalization of the entire business as well as some new technology implementing. Using agent-based modeling and big data technology integrity, we are able to optimize supply chain in oil and gas industries.
Copyright © 2018 Jamal Maktoubian et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
