Abstract
User requirements serve as the primary reference content in product design. The effective capture of crucial user requirements, followed by the development of a product technical solution aligned with these requirements, stands as a pivotal approach to enhancing design efficiency. Addressing challenges associated with intricate user requirements, the inherent ambiguity during the trans-formation of user needs into technical solutions, and the elevated design costs resulting from the subjective nature of decision-making in technical solutions, this paper introduces a method for optimizing product technical solution decision-making rooted in user requirements. The method in-corporates the Kano model and pairwise analysis for the collection and analysis of user requirements. It involves acquiring and assigning weights to these requirements. Leveraging the Quality Function Deployment (QFD) theory, user requirements are translated into technical elements. High-value technical elements are determined based on the autocorrelation between user weights and technical elements. Consequently, a solution set for product technical solutions is derived. To optimize the decision-making process for technical solutions, the non-cooperative-cooperative tandem game model is employed. This model operates on the principle of parallel design, facilitating the determination of the overall optimal technical solution. The aforementioned method efficiently addresses the challenge of transitioning from user needs to technical solutions, offering a solid foundation for the selection of product technical solutions. To illustrate and validate the feasibility and effectiveness of this decision-making optimization method for product technical solutions, this paper employs the research and development of a medicinal bath water heater as a practical example.