Volume 21 Issue 2

With the intensification of global environmental challenges and the rising environmental awareness among parents, traditional children’s toys face growing criticisms regarding excessive resource consumption, poor recyclability, and inadequate sustainability. Wooden toys, in particular, encounter new obstacles in material innovation, structural optimization, and functional upgrading. To address the conflicting requirements of functionality, safety, and sustainability in wooden toy design, this study proposes a quantitative decision-making framework integrating the Kano model, Analytic Hierarchy Process (AHP), and VIKOR method. Unlike traditional design approaches that rely on intuition, this study first quantified user attributes through the Kano model, identifying “material traceability” as a high-priority “Attractive” attribute alongside “Must-be” safety requirements. AHP is then utilized to construct a hierarchical weighting system, revealing a “Safety-First, Ecology-Second” preference structure among stakeholders (Weights: Safety 0.482 > Ecology 0.273). Finally, the VIKOR method was used to rank five alternative schemes, identifying a modular furniture-toy combination as the compromise optimal solution due to its superior performance in high-weight indicators. This research provides a verifiable pathway for translating vague sustainable concepts into actionable design indicators.

The high-intensity noise generated during high-speed milling of wood-plastic composites, due to the material properties of anisotropy and non-uniformity, seriously affects the working environment and operator comfort. The influence of axial depth of cut, radial depth of cut, cutting speed, and feed per revolution on the sound pressure level of milling noise in wood-plastic composites was analyzed through single-factor milling experiments. Furthermore, a principal component variance analysis was conducted using multi-level factorial milling experiments to investigate the interaction effects of milling parameters on milling noise variation. The results showed that, for a fixed milling length, the significance of milling parameters on milling noise sound pressure level decreased in the order of cutting speed, axial depth of cut, radial depth of cut, and feed per revolution. A smaller axial depth of cut was suggested to control noise emission while ensuring machining efficiency. With a constant axial depth of cut, lower feed per revolution and radial depth of cut helped achieve reduced noise levels. This study provides a theoretical basis for addressing the challenge of high-intensity noise generated during high-speed milling of wood-plastic composites.