<p>Self-service machines provide round-the-clock access to various services, enhancing operational efficiency, reducing waiting times, and minimizing human errors. However, their design has traditionally prioritized business functionality and user experience, with minimal attention to sustainability principles. As finite resources and environmental concerns gain prominence, embedding sustainability into self-service machine design is crucial for promoting resource efficiency, environmental protection, and social responsibility. Current sustainable product design methods tend to focus on environmental features, often overlooking the multidimensional requirements necessary for a balanced approach. Addressing this gap, this study proposes an enhanced multidimensional requirement-oriented quality function deployment method, which uses multiple one-dimensional quality of houses to independently process requirements across different dimensions. This approach effectively reduces the complexity associated with traditional quality function deployment, enabling a more comprehensive and strategically aligned design process. By prioritizing key sustainability dimensions, this method offers a robust framework for developing sustainable self-service machines, aligning design outcomes with sustainability goals.</p>