Design and Evaluation of Wooden Furniture for Student Dormitories Based on User Needs

Abstract

In recent years, the number of university students in China has increased, while dormitory furniture often fails to meet students' diverse needs. This study develops a hybrid FKANO-ANP-EW-TOPSIS model to design and evaluate dormitory beds, aiming to meet students' diverse needs while promoting the sustainable development of dormitory furniture. First, demand indicators were identified through interviews and a literature review. The Fuzzy KANO (FKANO) model was used to screen these indicators. Key indicators were then integrated into a network model based on the Analytic Network Process (ANP) to analyze their weights and interdependencies. The Entropy Weight (EW) method was combined to determine the final weights for each indicator. The results show that structural stability, storage capacity, and modular design have the highest weights. Modular design emerged as the core element, with sustainability as the foundational element in the core relationship chain. Based on this, three sustainable, multifunctional wooden dormitory bed designs were proposed. The Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to compare these designs with two popular products, identifying the optimal solution. This model offers a more comprehensive perspective for designing dormitory furniture, providing valuable insights for furniture manufacturers and designers.