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

Year 2025, Volume: 30 Issue: 3, 779 - 798, 19.12.2025

Melike Nur İnce , Çağatay Taşdemir , Aytaç Yildiz

https://doi.org/10.17482/uumfd.1622190

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

Multi-Criteria Decision Making , Machine Selection , Furniture Industry , Fuzzy AHP , Fuzzy QFD

Mobilya Sektöründe Kesim Makinesi̇ Seçimi İçin Bulanık QFD Tabanlı Bir Yaklaşım

Abstract

Rekabetin giderek arttığı bir iş ortamında ayakta kalabilmek için şirketler müşteri isteklerine daha fazla önem vermektedir. Bu gelişmeler ışığında, talep odaklı üretim önemli bir iş önceliği haline gelmiştir. Ayrıca, müşteri isteği, iş sektöründeki stratejik karar alma süreçlerinde çok önemli bir husus olarak ortaya çıkmıştır. Satın alma, lojistik ve üretim de dahil olmak üzere çeşitli operasyonel alanlarda karar alma süreçlerinde müşteri odaklı bir yaklaşımın benimsenmesi, işletme karlılığını artırabilir. Bu çalışmada, mobilya sektöründe faaliyet gösteren orta ölçekli bir şirketin tedarik etmek istediği bir kesim makinesi için AHP tabanlı bulanık bir QFD yaklaşımı geliştirilmiştir. Bu analizde sekiz müşteri isteği belirlenmiş ve Bulanık AHP metodolojisi kullanılarak bunların göreceli önemleri tespit edilmiştir. Sonuçlar, Hassasiyetin (CR 3) 0,300 ağırlıkla en kritik müşteri isteği olduğunu, bunu 0,229 ağırlıkla ikinci en önemli müşteri isteği olarak belirlenen Kesim Kalitesinin izlediğini göstermiştir. Daha sonra, bu ağırlıklı müşteri istekleri Bulanık QFD metodolojisine girilmiştir. Bu adımı takiben, makine seçimi için on teknik gereksinim belirlenmiştir. Çalışmanın sonuçları, en iyi performans gösteren alternatifin yüzde 28,00 ile lazer kesim makinesi olduğunu, en kötü performans gösteren alternatifin ise %19,40 ile otojen alevli kesim makinesi olduğunu göstermiştir. Kullanılan metodoloji özellikle mobilya endüstrisindeki metal bileşenler için makine seçimi konusuna odaklanmasına rağmen, bulgular daha geniş uygulanabilirliğe sahip önemli bilgiler sunmaktadır. Bu içgörüler, benzer nitelikteki karmaşık karar verme problemlerine çözüm sunabilecek bir referans noktası sağlamakta, dolayısıyla araştırmayı mobilya üretimi, makine seçimi problemleri ve çok kriterli karar verme konularında çalışan uygulayıcılar ve akademisyenler için değerli kılmaktadır.

Keywords

Çok Kriterli Karar Verme , Makine Seçimi , Mobilya Endüstrisi , Bulanık AHP , Bulanık QFD

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