A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY

Authors : Melike Nur İnce, Çağatay Taşdemir, Aytaç Yildiz

Pages : 779-798

Doi:10.17482/uumfd.1622190

View : 128 | Download : 229

Publication Date : 2025-12-19

Article Type : Research Paper

Abstract :To survive in an increasingly competitive business environment, companies are placing a greater emphasis on customer demands. Demand-driven manufacturing has become a key business priority in light of these developments. Furthermore, customer demand has emerged as a pivotal consideration in strategic decision-making processes within the business sector. Adopting a customeroriented approach to decision-making in various operational areas, including purchasing, logistics, and production, could increase business profitability. In this study, a fuzzy AHP-based fuzzy QFD approach was developed for a cutting machine that a medium-sized furniture company sought to procure. This analysis identified eight customer requests and determined their relative importance using the Fuzzy AHP methodology. The results indicated that Precision (CR 3) was the most critical customer request, with a weight of 0.300, followed by Cutting Quality, which was identified as the second most crucial customer request, with a weight of 0.229. Subsequently, these weighted customer requests were input into the Fuzzy QFD methodology. Subsequently, ten technical requirements for machine selection were identified. The study results showed that the best-performing alternative was the laser cutting machine, with a percentage value of 28.00. In contrast, the worst-performing alternative was the autogenous flamecutting machine, with 19.40%. Although the employed methodology was explicitly focused on machine selection for metal components in the furniture industry, the findings offer significant insights with broader applicability. These insights provide a reference point for addressing complex decision-making problems of a similar nature, making the research valuable to practitioners and academics working in furniture manufacturing, machine selection, and multi-criteria decision-making.
Keywords : Çok Kriterli Karar Verme, Makine Seçimi, Mobilya Endüstrisi, Bulanık AHP, Bulanık QFD

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