___

• Akao, Y., & Mazur, G. H. (2003). The leading edge in QFD: Past, present, and future. International Journal of Quality and Reliability Management, 20 (1), 20-35. doi: https://doi.org/10.1108/02656710310453791
• Aiello, G., Giovino, I., Vallone, M., Catania, P., & Argento, A. (2018). A decision support system based on multisensor data fusion for sustainable greenhouse management. Journal of Cleaner Production, 172, 4057-4065. doi: https://doi.org/10.1016/j.jclepro.2017.02.197
• Akdağ, H. C., Tarım, M., Lonıal, S., & Yatkın A. (2013). QFD application using SERVQUAL for private hospitals: A case study. Ladership in Health Services, 26 (3), 175-183. doi: https://doi.org/10.1108/LHS-02-2013-0007
• Aktepe, A., Ersöz, S., Hayat, Y., Orhan, G., Can, C., & Çifci, S. (2011). Kalite Fonksiyon Yayılımı (KFY)’de Servqual Analizi ve Bulanık Analitik Hiyerarşi Prosesi (BAHP) Yöntemlerinin Bütünleşik Kullanımı: Bir Üniversite Hastanesinde Uygulama, XI. Üretim Araştırmaları Sempozyumu, 23-24 Haziran, İstanbul.
• Almannai, B., Greenough, R., & Kay, J. (2008). A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies. Robotics and Computer-Integrated Manufacturing, 24(4), 501-507. doi: https://doi.org/10.1016/j.rcim.2007.07.002
• Chan, S. L., & Ip, W. H. (2011). A dynamic decision support system to predict the value of customer for new product development. Decision Support Systems, 52(1), 178-188. doi: https://doi.org/10.1016/j.dss.2011.07.002
• Conrow, E. H. (2009). Estimating Technology Readiness Level Coefficients, AIAA SPACE 2009 Conference & Exposition, 14 - 17 September, Pasadena, California.
• Çetinyokuş, T. ve Gökçen, H. (2002). Borsada teknik göstergelerle analiz için bir Karar Destek Sistemi. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 17(1), 43-58.
• Dat, L. Q., Phuong, T. T., Kao, H. P., Chou, S. Y., & Van Nghia, P. (2015). A new integrated fuzzy QFD approach for market segments evaluation and selection. Applied Mathematical Modelling, 39(13), 3653-3665. doi: https://doi.org/10.1016/j.apm.2014.11.051
• Delice, E. K., & Güngör, Z. (2013). Determining design requirements in QFD using fuzzy mixed-integer goal programming: application of a decision support system. International Journal of Production Research, 51(21), 6378-6396. doi: https://doi.org/10.1080/00207543.2013.803625
• Demirtaş, E. A. & Köksal, G. (2018). Sağlık Hizmet Kalitesinin Servqual Temelli Kalite Evi İle Değerlendirilmesinde Yeni Bir Yaklaşım, Verimlilik Dergisi, 2, 29-52.Doğan, O. (2014). Yeni Ürün Geliştirmede Kalite Fonksiyon Göçerimi Kullanarak Zeki Karar Destek Sistemi Yaklaşımı. Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü.
• Evans, J. R. (1997). Production/Operations Management: Quality, Performance. West Publishing.
• Figueroa-Perez, J. F., Leyva-Lopez, J. C., Santillan, L. C., Contreras, E. O. P., & Sánchez, P. J. (2019). The Use of Marketing Decision Support Systems for New Product Design: A Review. International Journal of Computational Intelligence Systems, 12(2), 761-774. doi: https://doi.org/10.2991/ijcis.d.190624.001
• González, M. E., Quesada, G., & Bahill A.T. (2003) Improving Product Design Using Quality Function Deployment: The School Furniture Case in Developing Countries. Quality Engineering, 16:1, 45-56. doi: https://doi.org/10.1081/QEN-120020770
• ISO 16355-1, (2015), Application of statistical and related methods to new technology and product development process - Part 1: General principles and perspectives of Quality Function Deployment (QFD).
• Kaya, Ş. (2014). Yatan Hasta Kalite Algısının SEVQUAL Temelli Analiz ve Kalite Fonksiyon Yayılımı İle Değerlendirilmesi: Eskişehir Devlet Hastanesinde Bir Uygulama. Yüksek Lisans Tezi, Eskişehir Osmangazi Üniversitesi, Fen Bilimleri Enstitüsü.
• Kazemzadeh, R. B., Behzadian, M., Aghdasi, M., & Albadvi, A. (2009). Integration of marketing research techniques into house of quality and product family design. The International Journal of Advanced Manufacturing Technology, 41(9–10), 1019–1033. doi: https://doi.org/10.1007/s00170-008-1533-2
• Kemalbay, V. (2012). Tekli Dakikalarda Kalıp Değiştirme Zeki Karar Destek Sistemi Ve Tekstil Sektöründe Uygulaması. Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü.
• Kulatunga, A. K., Karunatilake, N., Weerasinghe, N., & Ihalawatta, R. K. (2015). Sustainable manufacturing based decision support model for product design and development process. Procedia CIRP, 26, 87-92. doi: https://doi.org/10.1016/j.procir.2015.03.004
• Kwong, C. K., & Bai, H. (2002). A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of intelligent manufacturing, 13(5), 367-377. doi: https://doi.org/10.1023/A:1019984626631
• Lei, N., & Moon, S. K. (2015). A Decision Support System for market-driven product positioning and design. Decision Support Systems, 69, 82-91. doi: https://doi.org/10.1016/j.dss.2014.11.010
• Li, Y. L., Du, Y. F., & Chin, K. S. (2018). Determining the importance ratings of customer requirements in quality function deployment based on interval linguistic information. International Journal of Production Research, 56(14), 4692-4708. doi: https://doi.org/10.1080/00207543.2017.1417650
• Oke, S. A. (2013). Manufacturing Quality Function Deployment: Literature Review and Future Trends. Engineering Journal, 17 (3), 79-103. doi: https://doi.org/10.4186/ej.2013.17.3.79
• Pakdil, F. & Kurtulmuşoğlu, F. B. (2014). Improving service quality in highway passenger transportation: A case study using quality function deployment. European Journal of Transport and Infrastructure Research, 4, 375-393. doi: https://doi.org/10.18757/ejtir.2014.14.4.3043
• Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83-98.
• Singhaputtangkul, N., Low, S. P., Teo, A. L., & Hwang, B. G. (2013). Knowledge-based decision support system quality function deployment (KBDSS-QFD) tool for assessment of building envelopes. Automation in Construction, 35, 314-328. doi: https://doi.org/10.1016/j.autcon.2013.05.017
• Taticchi, P., Garengo, P., Nudurupati, S. S., Tonelli, F., & Pasqualino, R. (2015). A review of decision-support tools and performance measurement and sustainable supply chain management. International Journal of Production Research, 53(21), 6473-6494. doi: https://doi.org/10.1080/00207543.2014.939239
• Turban, E. (1995). Decision Support and Expert Systems: Management Support Systems. N J: Englewood Cliffs.
• Turban, E., Aronson, J. E., Liang, T. P. & Sharda, R. (2007). Decision Support and Business Intelligence Systems. Noida: Pearson Education, Inc.
• Xu, L., Li, Z., Li, S., & Tang, F. (2007). A decision support system for product design in concurrent engineering. Decision support systems, 42(4), 2029-2042. doi: https://doi.org/10.1016/j.dss.2004.11.007
• Yildiz, O., Dağdeviren, M., & Çetinyokuş, T. (2008). İşgören Performansının Değerlendirilmesi İçin Bir Karar Destek Sistemi ve Uygulaması. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 23(1), 239-248.
• Zheng, P., Xu, X., & Xie, S. Q. (2019). A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning. Journal of Intelligent Manufacturing, 30(1), 3-16. doi: https://doi.org/10.1007/s10845-016-1224-z