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Corporate dashboards for integrated business and engineering decisions in oil refineries: An agent-based approach
Abstract:
It is generally very challenging for an oil refinery to make integrated decisions encompassing multiple functionsbased on a traditional Decision Support System (DSS), given the complexity and interactions of variousdecisions. To overcome this limitation, we propose an integrated DSS framework by combining both businessand engineering systems with a dashboard. The dashboard serves as a human–computer interface and allowsa decision maker to adjust decision variables and exchange information with the DSS. The proposed frameworkprovides a two-stage decision making mechanism based on optimization and agent-based models.Under the proposed DSS, the decision maker decides on the values of a subset of decision variables. Thesevalues, or the first-stage decision, are forwarded through the dashboard to the DSS. For the given set offirst-stage decision variables, a multi-objective robust optimization problem, based on an integrated businessand engineering simulation model, is solved to obtain the values for a set of second-stage decision variables.The two-stage decision making process iterates until a convergence is achieved. A simple oil refinery casestudy with an example dashboard demonstrates the applicability of the integrated DSS
Keywords: Decision Support System (DSS) Knowledge management Refinery Oil markets Non-linear optimization Agent-based modeling Simulation
Author(s): W. Hu, A. Almansoori b, P.K. Kannan , S. Azarm , Z. Wang
Source: Decision Support Systems 52 (2012) 729–741
Subject: تصمیم گیری
Category: مقاله مجله
Release Date: 2012
No of Pages: 13
Price(Tomans): 0
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