In order to realize accurate marketing by analyzing customer individual demand, a new quantitative Kano model method is put forward, and it is helpful to provide customized products for heterogeneous customer classification groups. By improving the traditional Kano model, the customer satisfaction and the importance degree of products are defined, and the quantitative Kano demand model is established. Customers are classified as the price preference group, the brand preference group, and the service priority group, and decision-making of product attribute quality improvement for customer classification is realized. Lastly, electric vehicles (EVs) are selected as a study case, and their various demands for different classifications of customers are discussed by questionnaire survey and calculation of satisfaction and the importance degree. Furthermore, different customer group demands are classified as attractive demands, expected demands, nondifferential demands, or essential demands, and the important product attribute acquisition process for various customers is discussed to improve enterprise market competitiveness.

To improve the production efficiency and quality of the automobile production line, optimize the balance rate of the production line, and realize the digital mapping of the new energy automobile production line. The critical production lines of new energy vehicles are accurately modeled and visualized in the Anylogic environment using multi-agent and discrete event modeling methods. Through the establishment of data connection with actual equipment and the simulation of the operation of the production line, a visual simulation and analysis interface of the production line is built to detect the impact of process time on the balance rate, whether the inventory strategy is reasonable and whether it meets the actual production requirements, reduce the optimization cost, and provide a new idea for the digital twin system of the automobile production line.