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Using stochastic model for lower financial risk management in refinery operation planning

Abduljabbar, Waleed K. and Tahar, Razman M. (2010) Using stochastic model for lower financial risk management in refinery operation planning. In: 2nd International Conference on Technology and Operations Management (ICTOM), 5 - 7 July 2010 , Bayview Hotel, Langkawi. (Unpublished)

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Most Refineries historically models are deterministic, that is, they use nominal parameter values without taking into consideration the uncertainty in process, demands, refinery parameters, etc. And as a consequence, they are unable to perform risk management. In this paper a variety of methodologies for financial risk management in engineering decision have been already developed. We follow the approach presented by Barbaro and Bagajewicz (2004), who used two-stage stochastic programming model and you, can find all other approaches analyzed and discussed. The problem addressed here is that of determining the crude oil to purchase and decide on the production level of different products given predicts of demands. The profit is maximized taking into account revenues, crude oil costs, inventory costs, and lost demand costs. The model was tested using data from the Refinery owned by the State Oil Marketing Organization (SOMO) Company, Iraq. The results show that the stochastic model can forecast higher expected profit and lower risk compared to the deterministic model.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Organized by UUM College of Business, Universiti Utara Malaysia
Uncontrolled Keywords: refinery operations, petroleum, crude transportation, stochastic model.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
T Technology > TS Manufactures
Divisions: School of Business Management
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 26 Dec 2011 04:33
Last Modified: 24 Apr 2016 02:40

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