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Petronas Petrol Station Fuel Consumption Forecast System (PSFS)

Shafee, Khairul and Jale, Ahmad and Suet Peng, Yong and Yew, Kwang Hooi (2004) Petronas Petrol Station Fuel Consumption Forecast System (PSFS). In: 2nd International Conference on Artificial Intelligence in Engineering and Technology (iCAiET 2004), 2004, Sabah, Malaysia.

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Abstract

‘Petronas Gas Station Fuel Consumption Forecast System’ is to build an expert system prototype that replicates the task of Petronas gas station manager in forecasting fuel consumption. Accurate forecast is important when the manager places order for new supply of fuel from Petronas Dagangan because it ensures correctness of the amount and date of delivery. At the moment, manager relies on intuitive judgment when making the forecast. An inexperienced manager may not be able to interpret the factors and make inaccurate forecast. The scopes of study are to understand how manager makes forecast; to represent the knowledge in programming; and to produce a prototype system. The project will focus on Batu Gajah Petronas gas station as the subject of study. The methodology applied will be structured interview with the manager to understand the process and to design and develop a prototype using artificial intelligence. Finding will show that the prototype is capturing the human manager’s skill of making forecast.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA76 Computer software
Academic Subject One:Rule-based Programming
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:8711
Deposited By: Mr. Kwang Hooi Yew
Deposited On:28 Apr 2015 02:54
Last Modified:28 Apr 2015 02:54

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