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

Yıl 2025, Cilt: 30 Sayı: 3, 779 - 798, 19.12.2025

Melike Nur İnce , Çağatay Taşdemir , Aytaç Yildiz

https://doi.org/10.17482/uumfd.1622190
https://izlik.org/JA62PW69EW

Öz

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.

Anahtar Kelimeler

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

Kaynakça

  • Abdullah, A. G., Shafii, M. A., Pramuditya, S., Setiadipura, T., and Anzhar, K. (2023). Multi-Criteria Decision Making for Nuclear Power Plant Selection Using Fuzzy AHP: Evidence from Indonesia. Energy and AI, 14. https://doi.org/10.1016/j.egyai.2023.100263
  • Akın, N. G. (2019). Comparison of ENTROPY-ROV and CRITIC-ROV Methods in Machine Selection Problem. Dumlupinar University Journal of Social Sciences, 62, 20–39. https://dergipark.org.tr/en/pub/dpusbe/issue/49502/527478
  • Al Mohamed, A. A., Al Mohamed, S., and Zino, M. (2023). Application of Fuzzy Multicriteria Decision-Making Model in Selecting Pandemic Hospital Site. Future Business Journal, 9(1), 14. https://doi.org/10.1186/s43093-023-00185-5
  • Aloini, D., Dulmin, R., and Mininno, V. (2014). A Peer IF-TOPSIS Based Decision Support System for Packaging Machine Selection. Expert Systems with Applications, 41(5), 2157–2165. https://doi.org/10.1016/j.eswa.2013.09.014
  • Apak, S., Göğüş, G. G., and Karakadılar, İ. S. (2012). An Analytic Hierarchy Process Approach with a Novel Framework for Luxury Car Selection. Procedia - Social and Behavioral Sciences, 58, 1301–1308. https://doi.org/10.1016/j.sbspro.2012.09.1113
  • Ayag, Z. (2010). A Combined Fuzzy AHP-Simulation Approach to CAD Software Selection. International Journal of General Systems, 39(7), 731–756. https://doi.org/10.1080/03081079.2010.495190
  • Ayag, Z., and Ozdemir, R. G. (2006). A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives. Journal of Intelligent Manufacturing, 17(2), 179–190. https://doi.org/10.1007/s10845-005-6635-1
  • Babbar, C., and Amin, S. H. (2018). A Multi-Objective Mathematical Model Integrating Environmental Concerns for Supplier Selection and Order Allocation Based on Fuzzy QFD in Beverages Industry. Expert Systems With Applications, 92(2018), 27–38. https://doi.org/10.1016/j.eswa.2017.09.041
  • Bevilacqua, M., Ciarapica, F. E., and Giacchetta, G. (2006). A fuzzy-QFD Approach to Supplier Selection. Journal of Purchasing and Supply Management, 12(1), 14–27. https://doi.org/10.1016/j.pursup.2006.02.001
  • Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9
  • Chan, L.-K., and Wu, M.-L. (2002). Quality Function Deployment: A Literature Review. European Journal of Operational Research, 143(3), 463–497. https://doi.org/10.1016/S0377-2217(02)00178-9
  • Daldır, I., and Tosun, O. (2018). Green Supplier Selection Using Fuzzy WASPAS. Uludag University Jornal of Faculity of Engineering, 26(3), 969–986. https://doi.org/10.17482/uumfd.449584
  • Efe, B. (2019). Fuzzy Cognitive Map-Based Quality Function Deployment Approach For Dishwasher Machine Selection. Applied Soft Computing, 83, 105660. https://doi.org/10.1016/j.asoc.2019. 105660
  • Emhan, A. (2007). Decision-Making Process and Using Data Processing Systems. Electronic Journal of Social Sciences, 6(21), 212–224. https://dergipark.org.tr/en/pub/esosder/issue/6135/82282
  • Erdogan Aktan, H., and Karayun, I. (2018). Recovery Alternatives Selection by Fuzzy Multi Criteria Decision Making Approach in Electronics Sector. Uludag University Jornal of Faculity of Engineering, 23(4), 141–158. https://doi.org/10.17482/uumfd.455216
  • Ertugrul, I., and Gunes, M. (2007). Fuzzy Multi-Criteria Decision-Making Method for Machine Selection. In Analysis and Design of Intelligent Systems using Soft Computing Techniques (Vol. 41, pp. 638–648). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_65
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  • Fortune Business Insights. (2024). Furniture Market Size, Industry Share and COVID-19 Impact Analysis, By Raw Material (Wood, Metal, Plastic, and Others), Category (Indoor and Outdoor), End-User (Residential, Office, Hotel, and Others), and Regional Forecast, 2023-2030. https://www.fortunebusinessinsights.com/furniture-market-106357
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  • Grand View Research. (2023). Furniture Market Size, Share and Trends Analysis Report By Product (Beds, Tables and Desks, Sofa and Couch, Chairs and Stools, Cabinets and Shelves), By Material (Metal, Wood, Plastic, Glass), By Application, By Region, And Segment Forecasts, 2023 - 2030. https://www.grandviewresearch.com/industry-analysis/furniture-market
  • Gulcicek Tolun, B., and Tumturk, A. (2020). Machine Selection Using Integration of AHP and Grey Relational Analysis: Application in Agricultural Machinery Production Enterprise. Journal of Management and Economics, 27(1), 21–34. https://doi.org/10.18657/yonveek.6110281
  • Hagag, A. M., Yousef, L. S., and Abdelmaguid, T. F. (2023). Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends. Mathematics, 11(3), 631. https://doi.org/10.3390/math11030631
  • Hanine, M., Boutkhoum, O., Tikniouine, A., and Agouti, T. (2016). Comparison of Fuzzy AHP and Fuzzy TODIM Methods for Landfill Location Selection. SpringerPlus, 5(1), 501. https://doi.org/10.1186/s40064-016-2131-7
  • Hu, W., Liu, G., and Tu, Y. (2016). Wastewater Treatment Evaluation for Enterprises Based on Fuzzy-AHP Comprehensive Evaluation: A Case Study in Industrial Park in Taihu Basin, China. SpringerPlus, 5(1), 907. https://doi.org/10.1186/s40064-016-2523-8
  • Jing, L., Chen, B., Zhang, B., and Peng, H. (2013). A Hybrid Fuzzy Stochastic Analytical Hierarchy Process (FSAHP) Approach For Evaluating Ballast Water Treatment Technologies. Environmental Systems Research, 2(1), 10. https://doi.org/10.1186/2193-2697-2-10
  • Kabadayi, N., and Dağ, S. (2017). Machine Selection in a Cable Manufacturing with Using Fuzzy DEMATEL and Fuzzy PROMETHEE. Karadeniz Technical University Institute of Social Sciences Journal of Social Sciences, 7(14), 14. https://dergipark.org.tr/tr/pub/sbed/issue/33888/375851
  • Kaya, I., Kılınc, M. S., and Cevikcan, E. (2008). Applying a Fuzzy Decision Making Model for Machine-Equipment Selection. Engineer and Machine, 49(576). https://www.mmo.org.tr/ocak-2008/makale/makine-techizat-secim-probleminde-bulanik-karar-verme-sureci-applying-fuzzy
  • Kuo, T.-C., Wu, H.-H., and Shieh, J.-I. (2009). Integration of Environmental Considerations in Quality Function Deployment by Using Fuzzy Logic. Expert Systems with Applications, 36(3), 7148–7156. https://doi.org/10.1016/j.eswa.2008.08.029
  • Li, H., Wang, W., Fan, L., Li, Q., and Chen, X. (2020). A Novel Hybrid MCDM Model for Machine Tool Selection Using Fuzzy DEMATEL, Entropy Weighting and Later Defuzzification VIKOR. Applied Soft Computing Journal, 91, 106207. https://doi.org/10.1016/j.asoc.2020.106207
  • Lima-Junior, F. R., and Carpinetti, L. C. R. (2016). A Multicriteria Approach Based on Fuzzy QFD for Choosing Criteria for Supplier Selection. Computers and Industrial Engineering, 101, 269–285. https://doi.org/10.1016/j.cie.2016.09.014
  • Liu, H.-T. (2011). Product Design and Selection Using Fuzzy QFD and Fuzzy MCDM Approaches. Applied Mathematical Modelling, 35(1), 482–496. https://doi.org/10.1016/j.apm.2010.07.014
  • Nandi, P. (2021). Furniture Market Analysis Research Report Information By Furniture Type (Chairs, Sofas, Tables, and Beds), Category (RTA and Non-RTA), Material (Wood, Metal, Glass, and Plastic), End User (Residential and Commercial) and By Region (North America, Europe, Asia-Pacific, And Rest of the World) - Forecast Till 2032. https://www.marketresearchfuture.com/reports/furniture-market-7625
  • Organ, A. (2013). Evaluation of Machine Selection Criteria by Method of Fuzzy DEMATEL. Çukurova University Journal of Institute of Social Sciences, 22(1), 157–172. https://dergipark.org.tr/en/pub/cusosbil/issue/4392/60412
  • Ozdagoglu, A. (2013). Comparison of Laser Cutting Machines in Production Companies with PROMETHEE Method. Int. Journal of Management Economics and Business, 9(19). https://doi.org/10.11122/ijmeb.2013.9.19.288
  • Ozgen, A., Tuzkaya, G., Tuzkaya, U. R., and Ozgen, D. (2011). A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment. International Journal of Computational Intelligence Systems, 4(4), 431. https://doi.org/10.2991/ijcis.2011.4.4.3
  • Percin, S. (2012). Application of Fuzzy AHP and TOPSIS Approach to Machinery Equipment Selection. Cukurova University Journal of Institute of Social Sciences, 21(1), 169–184. https://dergipark.org.tr/en/pub/cusosbil/issue/4389/60337
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Mobilya Sektöründe Kesim Makinesi̇ Seçimi İçin Bulanık QFD Tabanlı Bir Yaklaşım

Yıl 2025, Cilt: 30 Sayı: 3, 779 - 798, 19.12.2025

Melike Nur İnce , Çağatay Taşdemir , Aytaç Yildiz

https://doi.org/10.17482/uumfd.1622190
https://izlik.org/JA62PW69EW

Öz

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.

Anahtar Kelimeler

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

Kaynakça

  • Abdullah, A. G., Shafii, M. A., Pramuditya, S., Setiadipura, T., and Anzhar, K. (2023). Multi-Criteria Decision Making for Nuclear Power Plant Selection Using Fuzzy AHP: Evidence from Indonesia. Energy and AI, 14. https://doi.org/10.1016/j.egyai.2023.100263
  • Akın, N. G. (2019). Comparison of ENTROPY-ROV and CRITIC-ROV Methods in Machine Selection Problem. Dumlupinar University Journal of Social Sciences, 62, 20–39. https://dergipark.org.tr/en/pub/dpusbe/issue/49502/527478
  • Al Mohamed, A. A., Al Mohamed, S., and Zino, M. (2023). Application of Fuzzy Multicriteria Decision-Making Model in Selecting Pandemic Hospital Site. Future Business Journal, 9(1), 14. https://doi.org/10.1186/s43093-023-00185-5
  • Aloini, D., Dulmin, R., and Mininno, V. (2014). A Peer IF-TOPSIS Based Decision Support System for Packaging Machine Selection. Expert Systems with Applications, 41(5), 2157–2165. https://doi.org/10.1016/j.eswa.2013.09.014
  • Apak, S., Göğüş, G. G., and Karakadılar, İ. S. (2012). An Analytic Hierarchy Process Approach with a Novel Framework for Luxury Car Selection. Procedia - Social and Behavioral Sciences, 58, 1301–1308. https://doi.org/10.1016/j.sbspro.2012.09.1113
  • Ayag, Z. (2010). A Combined Fuzzy AHP-Simulation Approach to CAD Software Selection. International Journal of General Systems, 39(7), 731–756. https://doi.org/10.1080/03081079.2010.495190
  • Ayag, Z., and Ozdemir, R. G. (2006). A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives. Journal of Intelligent Manufacturing, 17(2), 179–190. https://doi.org/10.1007/s10845-005-6635-1
  • Babbar, C., and Amin, S. H. (2018). A Multi-Objective Mathematical Model Integrating Environmental Concerns for Supplier Selection and Order Allocation Based on Fuzzy QFD in Beverages Industry. Expert Systems With Applications, 92(2018), 27–38. https://doi.org/10.1016/j.eswa.2017.09.041
  • Bevilacqua, M., Ciarapica, F. E., and Giacchetta, G. (2006). A fuzzy-QFD Approach to Supplier Selection. Journal of Purchasing and Supply Management, 12(1), 14–27. https://doi.org/10.1016/j.pursup.2006.02.001
  • Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9
  • Chan, L.-K., and Wu, M.-L. (2002). Quality Function Deployment: A Literature Review. European Journal of Operational Research, 143(3), 463–497. https://doi.org/10.1016/S0377-2217(02)00178-9
  • Daldır, I., and Tosun, O. (2018). Green Supplier Selection Using Fuzzy WASPAS. Uludag University Jornal of Faculity of Engineering, 26(3), 969–986. https://doi.org/10.17482/uumfd.449584
  • Efe, B. (2019). Fuzzy Cognitive Map-Based Quality Function Deployment Approach For Dishwasher Machine Selection. Applied Soft Computing, 83, 105660. https://doi.org/10.1016/j.asoc.2019. 105660
  • Emhan, A. (2007). Decision-Making Process and Using Data Processing Systems. Electronic Journal of Social Sciences, 6(21), 212–224. https://dergipark.org.tr/en/pub/esosder/issue/6135/82282
  • Erdogan Aktan, H., and Karayun, I. (2018). Recovery Alternatives Selection by Fuzzy Multi Criteria Decision Making Approach in Electronics Sector. Uludag University Jornal of Faculity of Engineering, 23(4), 141–158. https://doi.org/10.17482/uumfd.455216
  • Ertugrul, I., and Gunes, M. (2007). Fuzzy Multi-Criteria Decision-Making Method for Machine Selection. In Analysis and Design of Intelligent Systems using Soft Computing Techniques (Vol. 41, pp. 638–648). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_65
  • Faydalı, R., and Erkan, E. F. (2020). A Fuzzy VIKOR Method for Machine Selection. Journal of Intelligent Systems: Theory and Applications, 3(1), 7–12. https://doi.org/https://doi.org/10.38016/jista.677785
  • Fortune Business Insights. (2024). Furniture Market Size, Industry Share and COVID-19 Impact Analysis, By Raw Material (Wood, Metal, Plastic, and Others), Category (Indoor and Outdoor), End-User (Residential, Office, Hotel, and Others), and Regional Forecast, 2023-2030. https://www.fortunebusinessinsights.com/furniture-market-106357
  • Gok Kısa, A., and Percin, C. (2017). Application of Integrated Fuzzy DEMATEL-Fuzzy VIKOR Approach to Machine Selection Problem. Journal of Yasar University, 12(48), 249–256. https://dergipark.org.tr/tr/pub/jyasar/issue/31740/328945
  • Grand View Research. (2023). Furniture Market Size, Share and Trends Analysis Report By Product (Beds, Tables and Desks, Sofa and Couch, Chairs and Stools, Cabinets and Shelves), By Material (Metal, Wood, Plastic, Glass), By Application, By Region, And Segment Forecasts, 2023 - 2030. https://www.grandviewresearch.com/industry-analysis/furniture-market
  • Gulcicek Tolun, B., and Tumturk, A. (2020). Machine Selection Using Integration of AHP and Grey Relational Analysis: Application in Agricultural Machinery Production Enterprise. Journal of Management and Economics, 27(1), 21–34. https://doi.org/10.18657/yonveek.6110281
  • Hagag, A. M., Yousef, L. S., and Abdelmaguid, T. F. (2023). Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends. Mathematics, 11(3), 631. https://doi.org/10.3390/math11030631
  • Hanine, M., Boutkhoum, O., Tikniouine, A., and Agouti, T. (2016). Comparison of Fuzzy AHP and Fuzzy TODIM Methods for Landfill Location Selection. SpringerPlus, 5(1), 501. https://doi.org/10.1186/s40064-016-2131-7
  • Hu, W., Liu, G., and Tu, Y. (2016). Wastewater Treatment Evaluation for Enterprises Based on Fuzzy-AHP Comprehensive Evaluation: A Case Study in Industrial Park in Taihu Basin, China. SpringerPlus, 5(1), 907. https://doi.org/10.1186/s40064-016-2523-8
  • Jing, L., Chen, B., Zhang, B., and Peng, H. (2013). A Hybrid Fuzzy Stochastic Analytical Hierarchy Process (FSAHP) Approach For Evaluating Ballast Water Treatment Technologies. Environmental Systems Research, 2(1), 10. https://doi.org/10.1186/2193-2697-2-10
  • Kabadayi, N., and Dağ, S. (2017). Machine Selection in a Cable Manufacturing with Using Fuzzy DEMATEL and Fuzzy PROMETHEE. Karadeniz Technical University Institute of Social Sciences Journal of Social Sciences, 7(14), 14. https://dergipark.org.tr/tr/pub/sbed/issue/33888/375851
  • Kaya, I., Kılınc, M. S., and Cevikcan, E. (2008). Applying a Fuzzy Decision Making Model for Machine-Equipment Selection. Engineer and Machine, 49(576). https://www.mmo.org.tr/ocak-2008/makale/makine-techizat-secim-probleminde-bulanik-karar-verme-sureci-applying-fuzzy
  • Kuo, T.-C., Wu, H.-H., and Shieh, J.-I. (2009). Integration of Environmental Considerations in Quality Function Deployment by Using Fuzzy Logic. Expert Systems with Applications, 36(3), 7148–7156. https://doi.org/10.1016/j.eswa.2008.08.029
  • Li, H., Wang, W., Fan, L., Li, Q., and Chen, X. (2020). A Novel Hybrid MCDM Model for Machine Tool Selection Using Fuzzy DEMATEL, Entropy Weighting and Later Defuzzification VIKOR. Applied Soft Computing Journal, 91, 106207. https://doi.org/10.1016/j.asoc.2020.106207
  • Lima-Junior, F. R., and Carpinetti, L. C. R. (2016). A Multicriteria Approach Based on Fuzzy QFD for Choosing Criteria for Supplier Selection. Computers and Industrial Engineering, 101, 269–285. https://doi.org/10.1016/j.cie.2016.09.014
  • Liu, H.-T. (2011). Product Design and Selection Using Fuzzy QFD and Fuzzy MCDM Approaches. Applied Mathematical Modelling, 35(1), 482–496. https://doi.org/10.1016/j.apm.2010.07.014
  • Nandi, P. (2021). Furniture Market Analysis Research Report Information By Furniture Type (Chairs, Sofas, Tables, and Beds), Category (RTA and Non-RTA), Material (Wood, Metal, Glass, and Plastic), End User (Residential and Commercial) and By Region (North America, Europe, Asia-Pacific, And Rest of the World) - Forecast Till 2032. https://www.marketresearchfuture.com/reports/furniture-market-7625
  • Organ, A. (2013). Evaluation of Machine Selection Criteria by Method of Fuzzy DEMATEL. Çukurova University Journal of Institute of Social Sciences, 22(1), 157–172. https://dergipark.org.tr/en/pub/cusosbil/issue/4392/60412
  • Ozdagoglu, A. (2013). Comparison of Laser Cutting Machines in Production Companies with PROMETHEE Method. Int. Journal of Management Economics and Business, 9(19). https://doi.org/10.11122/ijmeb.2013.9.19.288
  • Ozgen, A., Tuzkaya, G., Tuzkaya, U. R., and Ozgen, D. (2011). A Multi-Criteria Decision Making Approach for Machine Tool Selection Problem in a Fuzzy Environment. International Journal of Computational Intelligence Systems, 4(4), 431. https://doi.org/10.2991/ijcis.2011.4.4.3
  • Percin, S. (2012). Application of Fuzzy AHP and TOPSIS Approach to Machinery Equipment Selection. Cukurova University Journal of Institute of Social Sciences, 21(1), 169–184. https://dergipark.org.tr/en/pub/cusosbil/issue/4389/60337
  • Phung, X. L., Truong, H. S., and Bui, N. T. (2019). Expert System Based on Integrated Fuzzy AHP for Automatic Cutting Tool Selection. Applied Sciences, 9(20), 4308. https://doi.org/10.3390/app9204308
  • Ping, Y.-J., Liu, R., Lin, W., and Liu, H.-C. (2020). A New Integrated Approach for Engineering Characteristic Prioritization in Quality Function Deployment. Advanced Engineering Informatics, 45, 101099. https://doi.org/10.1016/j.aei.2020.101099
  • Precedence Research. (2023). Furniture Market Size | Share and Trends 2024 to 2034. https://www.precedenceresearch.com/furniture-market
  • Ratnasingam, J. (2003). A matter of design in the South East Asian wooden furniture industry. Holz Als Roh - Und Werkstoff, 61(2), 151–154. https://doi.org/10.1007/s00107-003-0375-8
  • Singh, A., and Singh, S. (2024). Furniture Market - By Material (Plastic, Wood, Metal, Others), By Application (Residential and Commercial), By Price Range, By Distribution Channel, By Region, Forecast 2024 – 2032. https://www.gminsights.com/industry-analysis/furniture-market
  • Soltan, H., Janada, K., and Omar, M. (2023). FAQT-2: A Customer-Oriented Method for MCDM with Statistical Verification Applied to Industrial Robot Selection. Expert Systems With Applications, 226, 120106. https://doi.org/10.1016/j.eswa.2023.120106
  • Sonmez, V., and Tandogan Oney, G. (2021). Supplier Selection for Purchasing Operations Using Analytic Hierarchy Process Method. Uludag University Jornal of Faculity of Engineering, 26(3), 969–986. https://doi.org/10.17482/uumfd.807265
  • Statista. (2024). Furniture - Worldwide . Statista. https://www.statista.com/outlook/cmo/furniture/worldwide#revenue
  • Taha, Z., and Rostam, S. (2011). A fuzzy AHP–ANN-based Decision Support System for Machine Tool Selection in A Flexible Manufacturing Cell. The International Journal of Advanced Manufacturing Technology, 57, 719–733. https://doi.org/10.1007/s00170-011-3323-5
  • Taha, Z., and Rostam, S. (2012). A hybrid fuzzy AHP-PROMETHEE decision support system for machine tool selection in flexible manufacturing cell. Journal of Intelligent Manufacturing, 23, 2137–2149. https://doi.org/10.1007/s10845-011-0560-2
  • Temiz, I., and Calis, G. (2017). Selection of Construction Equipment by Using Multi-criteria Decision Making Methods. Procedia Engineering, 196, 286–293. https://doi.org/10.1016/j.proeng.2017.07.201
  • Teng, J.-Y., Huang, W.-C., and Lin, M.-C. (2010). Systematic Budget Allocation for Transportation Construction Projects: A Case in Taiwan. Transportation, 37(2), 331–361. https://doi.org/10.1007/s11116-009-9239-3
  • Tuzkaya, G., Gulsun, B., Kahraman, C., and Özgen, D. (2010). An Integrated Fuzzy Multi-Criteria Decision Making Methodology for Material Handling Equipment Selection Problem and An Application. Expert Systems with Applications, 37(4), 2853–2863. https://doi.org/10.1016/j.eswa.2009.09.004
  • Uzun, S., and Kazan, H. (2016). Comparing MCDM Methods of AHP, TOPSIS and PROMETHEE: A Study on the Selection of Ship Main Engine System. Journal of Transportation and Logistics, 1(1), 99–99. https://doi.org/10.22532/jtl.237889
Toplam 50 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Endüstri Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Melike Nur İnce 0000-0002-2467-7580

Çağatay Taşdemir 0000-0002-7161-630X

Aytaç Yildiz 0000-0002-0729-633X

Gönderilme Tarihi 17 Ocak 2025
Kabul Tarihi 16 Ağustos 2025
Erken Görünüm Tarihi 11 Aralık 2025
Yayımlanma Tarihi 19 Aralık 2025
DOI https://doi.org/10.17482/uumfd.1622190
IZ https://izlik.org/JA62PW69EW
Yayımlandığı Sayı Yıl 2025 Cilt: 30 Sayı: 3

Kaynak Göster

APA İnce, M. N., Taşdemir, Ç., & Yildiz, A. (2025). A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 30(3), 779-798. https://doi.org/10.17482/uumfd.1622190
AMA 1.İnce MN, Taşdemir Ç, Yildiz A. A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY. UUJFE. 2025;30(3):779-798. doi:10.17482/uumfd.1622190
Chicago İnce, Melike Nur, Çağatay Taşdemir, ve Aytaç Yildiz. 2025. “A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 30 (3): 779-98. https://doi.org/10.17482/uumfd.1622190.
EndNote İnce MN, Taşdemir Ç, Yildiz A (01 Aralık 2025) A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 30 3 779–798.
IEEE [1]M. N. İnce, Ç. Taşdemir, ve A. Yildiz, “A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY”, UUJFE, c. 30, sy 3, ss. 779–798, Ara. 2025, doi: 10.17482/uumfd.1622190.
ISNAD İnce, Melike Nur - Taşdemir, Çağatay - Yildiz, Aytaç. “A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 30/3 (01 Aralık 2025): 779-798. https://doi.org/10.17482/uumfd.1622190.
JAMA 1.İnce MN, Taşdemir Ç, Yildiz A. A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY. UUJFE. 2025;30:779–798.
MLA İnce, Melike Nur, vd. “A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, c. 30, sy 3, Aralık 2025, ss. 779-98, doi:10.17482/uumfd.1622190.
Vancouver 1.İnce MN, Taşdemir Ç, Yildiz A. A FUZZY QFD-BASED APPROACH FOR CUTTING MACHINE SELECTION IN THE FURNITURE INDUSTRY. UUJFE [Internet]. 01 Aralık 2025;30(3):779-98. Erişim adresi: https://izlik.org/JA62PW69EW

DUYURU:

30.03.2021- Nisan 2021 (26/1) sayımızdan itibaren TR-Dizin yeni kuralları gereği, dergimizde basılacak makalelerde, ilk gönderim aşamasında Telif Hakkı Formu yanısıra, Çıkar Çatışması Bildirim Formu ve Yazar Katkısı Bildirim Formu da tüm yazarlarca imzalanarak gönderilmelidir. Yayınlanacak makalelerde de makale metni içinde "Çıkar Çatışması" ve "Yazar Katkısı" bölümleri yer alacaktır. İlk gönderim aşamasında doldurulması gereken yeni formlara "Yazım Kuralları" ve "Makale Gönderim Süreci" sayfalarımızdan ulaşılabilir. (Değerlendirme süreci bu tarihten önce tamamlanıp basımı bekleyen makalelerin yanısıra değerlendirme süreci devam eden makaleler için, yazarlar tarafından ilgili formlar doldurularak sisteme yüklenmelidir).  Makale şablonları da, bu değişiklik doğrultusunda güncellenmiştir. Tüm yazarlarımıza önemle duyurulur.

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