Topic: “ServPort” - Process reengineering in optimization of the process in vehicle service station


Main Objective: To improve the efficiency of the vehicle service process via process re-engineering and optimization in the automobile industry to provide user satisfaction.


Main Research Question: How do the process re-engineering and optimization improve the efficiency of the vehicle service process and improve customer satisfaction in a vehicle service station?



Individual Research Questions: 

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	- How to improve customer satisfaction and service quality?
	- How to assign employees for the relevant job?

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	- How does the prediction of customer retention affect the vehicle service center’s profitability? 

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	- How to detect vehicle number plates of the characters with mud or dirt and in Sinhala language only after a vehicle arrives to service center?

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	- How does demand forecasting with dynamic price changes affects for service center’s cost allocation to continue initial services in vehicle service center?



Individual Objectives:

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	- To allocate employees with resources for a specified service,  predict employee efficiency in service station.

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	- To evaluate the impact on vehicle service center’s profitability based on customer return prediction.

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	- Automated vehicle registration and automatic approval for entry via the vehicle plate number recognition and vehicle sound detection under defined conditions using improved deep learning techniques.

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	- predict customers’ future demand for products or services and future cost of specific services considering dynamic change of prices using machine learning algorithms.



