Intelligent swine livestock housing spaces design process through the implementation of a Kano-AHP-QFD approach

With the rise of sustainable development concepts and intelligent livestock farming, China’s swine farming industry is transitioning from traditional methods to more efficient and environmentally friendly models. To address the evolving farming requirements and their complex relationship with intelligent housing space design, this study employs the Kano, AHP, and QFD models to refine vague requirements into specific design features, exploring the process and methodology of intelligent swine housing space design. The research establishes four functional requirements (including 14 design attributes) and 16 key design characteristics, ranked by priority. The results indicate that in the design of intelligent swine housing spaces, priority should be given to sustainable materials selection, easy-to-construct and stable structures, modular design approaches, and optimized spatial density. Based on this, the design of intelligent swine livestock housing is divided into areas requiring innovative design exploration and domains where technologies are already mature. Furthermore, the study demonstrates that the application of the integrated Kano-AHP-QFD model not only effectively captures changes in user requirements – overcoming subjectivity in decision-making – but also enhances design precision, providing theoretical and practical guidance for intelligent livestock housing design.