Abstract
Nowadays, meeting the needs and expectations of customers has become more important to ensure the sustainability of the products in the market. Product designers utilize various methods and approaches to achieve this goal. The most favorable methods for product design are Quality Function Deployment (QFD) and Kano Model. QFD protects products against design errors and reduces customer dissatisfaction by matching customer expectations with technical characteristics of products. Kano Model categorizes product attributes with respect to customer expectations by examining the customer satisfaction levels in the cases of fulfillment and non-fulfillment of attributes. Therefore, in this chapter, an integrated method including QFD, Kano Model and interval-valued intuitionistic fuzzy analytical hierarchy process (IVIF-AHP) is employed for customer oriented product design. Kano Model is embedded into house of quality to define marketing advantage by classifying customer requirements while IVIF-AHP is utilized to determine the importance degrees of customer requirements. The proposed method is applied for laptop design. It is shown that processor, graphic card and battery are selected to be the most important technical characteristics.
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References
Frizziero, L., Francia, D., Donnici, G., Liverani, A., Caligiana, G.: Sustainable design of open molds with QFD and TRIZ combination. J. Ind. Prod. Eng. 35(1), 21–31 (2018)
Gangurde, S.R., Patil, S.S.: Benchmark product features using the Kano-QFD approach: a case study. Benchmarking: Int. J. 25(2), 450–470 (2018)
Kang, X., Yang, M., Wu, Y., Ni, B.: Integrating evaluation grid method and fuzzy quality function deployment to new product development. Math. Probl. Eng., Hindawi (2018)
Koprivica, S.M., Filipovic, J.: Application of traditional and fuzzy quality function deployment in the product development process. Eng. Manag. J. 30(2), 98–107 (2018)
Kowalska, M., Pazdzior, M., Krzton-Maziopa, A.: Implementation of QFD method in quality analysis of confectionery products. J. Intell. Manuf. 29, 439–447 (2018)
Li, Y.L., Du, Y.F., Chin, K.S.: Determining the importance ratings of customer requirements in quality function deployment based on interval linguistic information. Int. J. Prod. Res. 56(14), 4692–4708 (2018)
Patil, C.K., Husain, M., Halegowda, N.W.: Study of quality function deployment model based on artificial neural network with optimization techniques. J. Adv. Manuf. Syst. 17, 119–136 (2018)
Wu, X., Liao, H.: An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making. Inf. Fusion 43, 13–26 (2018)
Dehe, B., Bamford, D.: Quality Function Deployment and operational design decisions – a healthcare infrastructure development case study. Prod. Plan. Control Manag. Oper. 28(14), 1177–1192 (2017)
He, L., Song, W., Wu, Z., Xu, Z., Zheng, M., Ming, X.: Quantification and integration of an improved Kano model into QFD based on multi-population adaptive genetic algorithm. Comput. Ind. Eng. 114, 183–194 (2017)
Köse, Y., Demirci, E.: Fuzzy quality function deployment approach for selection of mineral water manufacturer companies. Turk. J. Occup./Environ. Med. Saf. 1(3), 465–478 (2017)
Režek Jambrak, A., Šimunek, M., Grbeš, F., Mandura, A., Djekic, I.: Analysis of apple beverages treated with high-power ultrasound: a quality function deployment approach. J. Sci. Food Agric. 98, 2258–2266 (2017)
Vinodh, S., Manjunatheshwara, K.J., Sundaram, S.K., Kirthivasan, V.: Application of fuzzy quality function deployment for sustainable design of consumer electronics products: a case study. Clean Technol. Environ. Policy 19, 1021–1030 (2017)
Wang, C.H.: Incorporating the concept of systematic innovation into quality function deployment for developing multi-functional smart phones. Comput. Ind. Eng. 107, 367–375 (2017)
Wu, S.M., Liu, H.C., Wang, L.E.: Hesitant fuzzy integrated MCDM approach for quality function deployment: a case study in electric vehicle. Int. J. Prod. Res. 55(15), 4436–4449 (2017)
Zadry, H.R., Susanti, L., Rahmayanti, D.: Ergonomics intervention on an alternative design of a spinal board. Int. J. Occup. Saf. Ergon. 23(3), 393–403 (2017)
Wood, L.C., Wang, C., Abdul-Rahman, H., Abdul-Nasir, N.S.J.: Green hospital design: integrating quality function deployment and end-user demands. J. Clean. Prod. 112, 903–913 (2016)
Murali, S., Pugazhendhi, S., Muralidharan, C.: Integration of IPA and QFD to assess the service quality and to identify after sales service strategies to improve customer satisfaction – a case study. Prod. Plan. Control 27(5), 394–407 (2016)
Kecek, G., Yüksel, R.: Analitik hiyerarşi süreci (ahp) ve promethee teknikleriyle akıllı telefon seçimi. Sos. Bilim. Derg. 49, 46–63 (2016)
Chen, C.H., Huang, C.Y.: The synergy of QFD and TRIZ for solving EMC problems in electrical products – a case study for the notebook PC. J. Ind. Prod. Eng. 32(5), 311–330 (2015)
Choi, I.K., Kim, W.S., Lee, D., Kwon, D.S.: A weighted qfd-based usability evaluation method for elderly in smart cars. Int. J. Hum.-Comput. Interact. 31(10), 703–716 (2015)
Fátima Cardoso, J.D., Filho, N.C., Miguel, P.A.C.: Application of quality function deployment for the development of an organic product. Food Qual. Prefer., Braz. 40, 180–190 (2015)
Ju, Y., Sohn, S.Y.: Patent-based QFD framework development for identification of emerging technologies and related business models: a case of robot technology in Korea. Technol. Forecast. Soc. Chang., Korea, 44–64 (2015)
Neyses, B., Sandberg, D.: A new methodology to select hardwood species for wooden products. Wood Mat. Sci. Eng. 10(4), 344–352 (2015)
Wu, Y.H., Ho, C.C.: Integration of green quality function deployment and fuzzy theory: a case study on green mobile phone design. J. Clean. Prod. 108, 271–280 (2015)
Alba-Elías, F., Guerra-Sánchez-De-La-Nieta, Á., Las-Heras-Casas, J., González-Marcos, A., Alfonso-Cendón, J., Castejón-Limas, M.: A new device for dosing additives in the food industry using quality function deployment. J. Food Process. Eng., Spain (2014)
Chen, L.H., Chen, C.N.: Normalisation models for prioritising design requirements for quality function deployment processes. Int. J. Prod. Res. 52(2), 299–313 (2014)
Han, K., Shin, J.: A systematic way of identifying and forecasting technological reverse salients using QFD, bibliometrics, and trend impact analysis: a carbon nanotube biosensor case. Technovation 34, 559–570 (2014)
Ji, P., Jin, J., Wang, T., Chen, Y.: Quantification and integration of Kano’s model into QFD for optimising product design. Int. J. Prod. Res. 52(21), 6335–6348 (2014)
Vinodh, S., Kamala, V., Jayakrishna, K.: Integration of ECQFD, TRIZ and AHP for innovative and sustainable product development. Appl. Math. Model. 38, 2758–2770 (2014)
Yuen, K.K.F.: A hybrid fuzzy quality function deployment framework using cognitive network process and aggregative grading clustering: an application to cloud software product development. Neurocomputing, China 142, 95–106 (2014)
Zaim, S., Sevkli, M., Camgöz-Akdağ, H., Demirel, O.F., Yayla, A.Y., Delen, D.: Use of ANP weighted crisp and fuzzy QFD for product development. Expert Syst. Appl. 41, 4464–4474 (2014)
Zhang, F., Yang, M., Liu, W.: Using integrated quality function deployment and theory of innovation problem solving approach for ergonomic product design. Comput. Ind. Eng., China 76, 60–74 (2014)
Zhong, S., Zhou, J., Chen, Y.: Determination of target values of engineering characteristics in QFD using a fuzzy chance-constrained modelling approach. Neurocomputing 142, 125–135 (2014)
Du, Y., Cao, H., Chen, X., Wang, B.: Reuse-oriented redesign method of used products based on axiomatic design theory and QFD. J. Clean. Prod. 39, 79–86 (2013)
Melemez, K., Gironimo, G.D., Esposito, G., Lanzotti, A.: Concept design in virtual reality of a forestry trailer using a QFD-TRIZ based approach. Turk. J. Agric. For., Turk. 789–801 (2013)
Nixon, J.D., Dey, P.K., Davies, P.K.: Design of a novel solar thermal collector using a multi-criteria decision-making methodology. J. Clean. Prod. 59, 150–159 (2013)
Özçifçi, V., Arsu, T.: Lojistik servis sağlayicisi seçiminde ahp uygulaması. Sos. Ve Beşeri Bilim. Derg. 5(1) (2013)
Wu, C.T., Pan, T.S., Shao, M.H., Wu, C.S.: An extensive QFD and evaluation procedure for innovative design. Math. Probl. Eng. (2013)
Homkhiew, C., Ratanawilai, T., Pochana, K.: Application of a quality function deployment technique to design and develop furniture products. Songklanakarin J. Sci. Technol. 34(6), 663–668 (2012)
Oke, S.A.: Manufacturing quality function deployment: literature review and future trends. Eng. J. 17(3), 79–103 (2013)
Wang, C.H., Chen, J.N.: Using quality function deployment for collobrative product design and optimal selection of module mix. Comput. Ind. Eng. 63, 1030–1037 (2012)
Uppalanchi, A.: Application of quality function deployment in new product and service development. Masters’ thesis. Missouri University of Science and Technology (2010)
Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)
Gonza´lez, M.E., Quesada, G., Bahill, A.T.: Improving product design using quality function deployment: the school furniture case in developing countries. Qual. Eng. 16(1), 47–58 (2003)
Karsak, E.E., Sozer, S., Alptekin, S.E.: Product planning in quality function deployment using a combined analytic network process and goal programming approach. Comput. Ind. Eng. 44, 171–190 (2002)
Verma, R., Maher, T., Pullman, M.: Effective product and process development using quality function deployment. Integr. Prod. Process. Dev. 339–354 (1998)
Cebi, S., Ozkok, M., Demirci, E.: Evaluation of design parameters for vessel engine room by using a modified QFD technique. J. Mult.-Valued Log. Soft Comput. 23(5–6), 559–587 (2014)
Wu, J., Huang, H.B., Cao, Q.W.: Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems. Appl. Math. Model. 37(24), 9898–9906 (2013)
Kano, N.: Attractive quality and must-be quality. Hinshitsu (Qual., J. Jpn. Soc. Qual. Control) 14, 39–48 (1984)
Shiau, C.S., Tseng, I.H., Heutchy, A.W., Michalek, J.: Design optimization of a laptop computer using aggregate and mixed logit demand models with consumer survey data. In: ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. 175–185). American Society of Mechanical Engineers Digital Collection (2007)
Kogure, M., Akao, Y.: Quality function deployment and CWQC in Japan. Qual. Prog. 10/1983, 16(10), 25–29 (1983)
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Ozalp, M., Kucukbas, D., Ilbahar, E., Cebi, S. (2020). Integration of Quality Function Deployment with IVIF-AHP and Kano Model for Customer Oriented Product Design. In: Kahraman, C., Cebi, S. (eds) Customer Oriented Product Design. Studies in Systems, Decision and Control, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-42188-5_6
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