Construction and application of product optimisation design model driven by user requirements.

Area of Science:

• Product Design
• Engineering Management
• Systems Engineering

Background:

• Effective product design relies on accurately capturing user requirements.
• Translating complex user needs into viable technical solutions is a significant challenge in product development.
• Current methods can be subjective and ambiguous, impacting design efficiency and reliability.

Purpose of the Study:

• To develop a user requirements-driven product optimization design model.
• To address the generation and decision-making of product technical solutions for complex user demands.
• To enhance design efficiency and the reliability of technical solution transformation.

Main Methods:

• Kano Model and Pairwise Analysis for user requirements importance ranking.
• Functional Analysis System Techniques (FAST) and Quality Function Deployment (QFD) for requirement-to-solution transformation.
• Game theory model for optimal technical solution combination and decision-making.

Main Results:

• The developed model systematically converts user requirements into technical solutions.
• It reduces subjectivity and ambiguity in user requirement analysis.
• The model successfully generated an optimal design for a medicated bath water heater, exceeding user satisfaction benchmarks.

Conclusions:

• The user requirements-driven optimization model provides a more reasonable approach to product design solution generation and decision-making.
• It increases the reliability of transforming user needs into technical solutions.
• The model demonstrably improves design efficiency and user satisfaction in complex, multi-objective scenarios.