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Expert Systems: Forecasting Petrol Orders for PETRONAS Petrol Station

Fong , Kah Wei (2004) Expert Systems: Forecasting Petrol Orders for PETRONAS Petrol Station. Universiti Teknologi Petronas. (Unpublished)

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Abstract

This system aims to develop an expert system (ES) prototype to assist PETRONAS petrol station's manager to predict the weekly petrol sales. Accurate result is very important to the manager because this will determine the amount of petrol left in the petrol station storage tank. An empty tank will interrupt the petrol station daily operation and the manager needs to bear the cost as well. Currently the manager does not have any assisting material (training only provided before the petrol station start operating) to support them during planning and most of them based solely on their experienced. There is no guideline to guide inexperience manager particularly the new petrol station manager. The scope of study is to understand the process during making decision to order petrol from the depot, the underlying factors that involved in forecasting, external parties that influenced the forecast and the method used to develop the ES. The system will develop using rule-based ES that introduced the if-then rules. The system will allow more flexibility to the users to customize their own rules according to their needs. Two interfaces will be used to distinguish different user roles that involved in the system; administrator and operator. The system is depending on the system knowledge base and the inference engine to formalize and analyze the rules from the users inserts data. Later, the system will come out with the forecasted order and other details to guide the petrol station manager to make decision. The significant of this project will improve the performance, efficiency of the petrol station and also increase PETRONAS petrol selling throughout the nation.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: T Technology > T Technology (General)
Divisions: Sciences and Information Technology
Depositing User: Users 2053 not found.
Date Deposited: 09 Oct 2013 11:07
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/8516

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