Experts Knowledge Sharing System In Diagnosing Proton Car Engines

• Main Author: Mohamad Farid Bin Abdullah, Mohamad Farid
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2012
• Subjects: T Technology (General)
• Online Access: http://utpedia.utp.edu.my/3891/1/11984_MOHAMAD_FARID_BIN_ABDULLAH_Dessertation_6415.pdf; http://utpedia.utp.edu.my/3891/

The proton car engine diagnosis system provides a broad range of technical expertise from top engines diagnosticians assembled in Proton cars to the mechanics or foremen at all Proton dealerships. The expertise provided by the system includes problem identification, analysis and solution. Current scenario that happened in service centre or at any dealership workshop is they still don‟t have a proper system to share and keep the knowledge of expertise so that the knowledge can be reused by others as well as can be retained in the company for future use. Experts‟ mechanics that have highly experienced skills and nonexperts mechanics that are still new and less experienced working together in a certain location to do services and repair any problems happened to the cars. However, there is time when the experts are not available and the non –experts don‟t have referees (experts) to be referred to about certain issues and then the problems arise. When non experts do not know how to fix things correctly, thus the mechanical faults will not being properly rectified thus leading to the creation of another fault which will significantly cause Proton customers to spend unnecessarily in getting their vehicle fixed. After recognising this problem matters, study had been conducted in order to produce a proper system that can be used as the knowledge sharing centre for the users at every level. Findings based on the survey and interviews had gave the system developer more ideas to further understand on the system functionalities and system development processes. Right after the development phase, the system had been tested by the users and the feedback was very impressive and there were few recommendations given by the users for the system improvements.