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Product design is a complex process that involves evaluating multiple design alternatives based on various criteria. The selection of an optimal design requires a structured decision-making approach capable of handling uncertainty and computational analysis. This study proposed a novel decision-making methodology that integrates finite element analysis (FEA) with the interval-valued spherical fuzzy analytic hierarchy process (IVSF-AHP) and the interval-valued spherical fuzzy weighted aggregated sum product assessment (IVSF-WASPAS) to enhance the accuracy and reliability of design selection. A case study was made at a furniture manufacturing company in Turkey, focusing on the development and optimization of a dining chair. FEA was employed to assess the structural integrity and manufacturability of each design under different loading conditions. IVSF-AHP was used to determine the importance of evaluation criteria, while IVSF-WASPAS was applied to rank alternative designs. Additionally, sensitivity and comparative analyses were conducted to support the model’s results. The proposed methodology presents a systematic and practical framework for manufacturers, product designers, and engineers to improve the product design process.
Singer et al. (Fri,) studied this question.