Intelligent Vehicle Asset Management System

Noor Azilah, Muda and Noraswaliza, Abdullah and Zurina, Sa'aya and Zeratul Izzah, Mohd Yusoh and Intan Ermahani, Abdul Jalil and Nor Mas Aina, Md Bohari (2004) Intelligent Vehicle Asset Management System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

There are at least three aspects the research will look into, one is managing the usage of the assets such as handling the transportation booking and the transport scheduling, second would be managing the assets in terms of maintaining the road tax, insurance and servicing the vehicles and lastly managing the inventory of assets such as vehicle spare parts and the vehicle itself. The research will also focus on problems that had certain rules in developing an automatically dynamic booking scheduling where the recognized problems will be modeled into related variables. The research will look into Artificial Intelligent area and it will concentrate on Rule Based technique. Rule Based technique is a common technique used to solve the scheduling problems and it will emphasize on it recognizable rules of the business process in any manually scheduling system. As a result of the research, it will develop a dynamic scheduling algorithm to solve the transportation booking scheduling problems along with the intelligent vehicle asset management system itself.

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