Redefining the design innovation process: Embedding sustainability through AI-generated camping cookware

With the increasing interest in glamping, the demand for more functional camping cookware has grown, driving innovation in its design. This study aims to explore innovative solutions for camping cookware, and establishes a systematic product conceptual design process through the integration of artificial intelligence-generated content (AIGC) and appropriate data analysis tools. Following the case study, by integrating sustainability-related principles, the study proposes an AIGC-assisted design process for sustainable product design, with its comparative effectiveness yet to be validated. Specifically, combining the GIOIA methodology with the Delphi method and Fuzzy Analytic Hierarchy Process (FAHP) to systematically identify and structure user expectations. These insights informed the development of a comprehensive requirements model for cookware design. Guided by this model, creative concepts were produced using generative tools such as Midjourney and Stable Diffusion, constrained by structured prompt cards. The resulting design outputs were assessed using VIKOR and Fuzzy Comprehensive Evaluation (FCE) to evaluate the prioritization of design alternatives and users' satisfaction with the resulting concept.The findings indicate that functional requirements and safety requirements are the primary considerations for camping cookware, especially usability and Ergonomic adaptability. In comparison, emotional requirements such as cultural resonance, personalized customization, and aesthetic appeal are not key focuses. In addition, AIGC can accurately reproduce design schemes, improve design efficiency and promote creativity generation.. The proposed framework demonstrates potential for aligning digital creativity with sustainability goals in consumer product design.