Abstract
Due to the intense global competition and rapid advances in technology, companies are forced to continually invest into the new product development (NPD). The main reason for NPD is offering new value to customers. In this context, customer-oriented product development is crucial. The purpose of the article is to propose a new method for determining and prioritizing the most important design requirements for customer-oriented product design. Quality Function Deployment (QFD) tool is selected for this purpose; since it efficiently considers customer needs. Fuzzy logic is applied thanks to its ability to represent uncertain information. It enables decision makers (DMs) to assess different elements with linguistic term sets. A case study about power banks is illustrated to test the usefulness of the method. Power banks are saviors when one has no access to power outlets, and are gradually entering our lives as accessories. However, there are various power bank models in the market and manufacturers desire to produce the most satisfying power banks for their customers. Therefore, in this chapter, an integrated fuzzy QFD and fuzzy multi criteria decision making (MCDM) method are implemented for customer-oriented multifunctional power bank design. We applied the fuzzy Analytic Hierarchy Process (AHP) technique to determine the customer needs’ weights and the fuzzy QFD technique to find the most important design requirements in multifunctional power bank design. The results of the case study are shared in the final section of the chapter.
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References
Bottani, E., Rizzi, A.: Strategic management of logistics service: a fuzzy QFD approach. Int. J. Prod. Econ. 103(2), 585–599 (2006)
Haselton, B.: CNBC Tech. Apple isn’t alone: 2018 was the ‘worst year ever’ for smartphone shipments, IDC says. https://www.cnbc.com/2019/02/01/idc-2018-smartphone-shipments-worst-year-ever.html. Accessed March 2019
Liu, L., Tang, W., Chen, B., Deng, C., Zhong, W., Cao, X., Wang, Z.: A self-powered portable power bank based on a hybridized nanogenerator. Adv. Mater. Technol. 3, 1700209 (2018)
Minghao, C., Yang, Y., Yuwen, H.: Portable power bank, dare to ask where the road is–Survey of the Capital University student charging treasure. In: 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017). Atlantis Press (2017)
He, F.: USB port and power delivery: an overview of USB port interoperability. In: 2015 IEEE Symposium on Product Compliance Engineering (ISPCE), pp. 1–5. IEEE (2015)
Suen, C.Y.B., Chan, K.T., Hung, T.K., Lee, C.C.: Remote monitoring on capacity of portable power bank in testing laboratories. In: IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society, pp. 4734-4739. IEEE (2017)
Buyukozkan, G., Ertay, T., Kahraman, C., Ruan, D.: Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach. Int. J. Intell. Syst. 19(5), 443–461 (2004)
dos Reis Benatto, G.A., Espinosa, N., Krebs, F.C.: Life‐cycle assessment of solar charger with integrated organic photovoltaics. Adv. Eng. Mater. 19(8), 1700124 (2017)
Palczynska, B.: Radiated emissions measurements of a portable power bank in a GTEM cell. In: 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), pp 1–6. IEEE (2017)
Thakur, P., Kool, A., Hoque, N.A., Bagchi, B., Khatun, F., Biswas, P., Das, S.: Superior performances of in situ synthesized ZnO/PVDF thin film based self-poled piezoelectric nanogenerator and self-charged photo-power bank with high durability. Nano Energy 44, 456–467 (2018)
Moo, C.S., Wu, T.H., Hou, C.H., Hsieh, Y.C.: Balanced discharging of power bank with buck-boost battery power modules. In: 2014 International Power Electronics Conference (IPEC-Hiroshima 2014-ECCE ASIA), pp. 1796–1800. IEEE (2014)
Hou, C.H., Yen, C.T., Wu, T.H., Moo, C.S.: A battery power bank of serial battery power modules with buck-boost converters. In: 2013 IEEE 10th International Conference on Power Electronics and Drive Systems (PEDS), pp. 211–216. IEEE (2013)
Wu, T.H., Moo, C.S., Hou, C.H.: A battery power bank with series-connected buck–boost-type battery power modules. Energies 10(5), 650 (2017)
Xie, L., Li, J., Cai, S., Li, X.: Design and experiments of a self-charged power bank by harvesting sustainable human motion. Adv. Mech. Eng. 8(5), 1687814016651371 (2016)
Khoo, L.P., Ho, N.C.: Framework of a fuzzy quality function deployment system. Int. J. Prod. Res. 34(2), 299–311 (1996)
Kahraman, C., Ertay, T., Büyüközkan, G.: A fuzzy optimization model for QFD planning process using analytic network approach. Eur. J. Oper. Res. 171(2), 390–411 (2006)
Bevilacqua, M., Ciarapica, F.E., Giacchetta, G.: A fuzzy-QFD approach to supplier selection. J. Purch. Supply Manag. 12(1), 14–27 (2006)
Liu, H.C., Quan, M.Y., Shi, H., Guo, C.: An integrated MCDM method for robot selection under interval-valued Pythagorean uncertain linguistic environment. Int. J. Intell. Syst. 34(2), 188–214 (2019)
Aboutorab, H., Saberi, M., Asadabadi, M.R., Hussain, O., Chang, E.: ZBWM: the Z-number extension of best worst method and its application for supplier development. Expert Syst. Appl. 107, 115–125 (2018)
Liu, A., Xiao, Y., Ji, X., Wang, K., Tsai, S.B., Lu, H., Wang, J.: A novel two-stage integrated model for supplier selection of green fresh product. Sustainability 10(7), 2371 (2018)
Peng, J.G., Xia, G., Sun, B.Q., Wang, S.J.: Systematical decision-making approach for quality function deployment based on uncertain linguistic term sets. Int. J. Prod. Res. 56(18), 6183–6200 (2018)
Tian, Z.P., Wang, J.Q., Wang, J., Zhang, H.Y.: A multi-phase QFD-based hybrid fuzzy MCDM approach for performance evaluation: a case of smart bike-sharing programs in Changsha. J. Clean. Prod. 171, 1068–1083 (2018)
Tsai, J.Y., Ding, J.F., Liang, G.S., Ye, K.D.: Use of a hybrid MCDM method to evaluate key solutions influencing service quality at a port logistics center in Taiwan. Brodogradnja: Teorija i praksa brodogradnje i pomorske tehnike 69(1), 89–105 (2018)
Van, L., Yu, V., Dat, L., Dung, C., Chou, S.Y., Loc, N.: New integrated quality function deployment approach based on interval neutrosophic set for green supplier evaluation and selection. Sustainability 10(3), 838 (2018)
Yu, L., Wang, L., Bao, Y.: Technical attributes ratings in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral. Soft. Comput. 22(6), 2015–2024 (2018)
Akbaş, H., Bilgen, B.: An integrated fuzzy QFD and TOPSIS methodology for choosing the ideal gas fuel at WWTPs. Energy 125, 484–497 (2017)
Alkhatib, S.F.: Strategic logistics outsourcing: upstream-downstream supply chain comparison. J. Glob. Oper. Strat. Sourc. 10(3), 309–333 (2017)
Hsu, C.H., Chang, A.Y., Luo, W.: Identifying key performance factors for sustainability development of SMEs—integrating QFD and fuzzy MADM methods. J. Clean. Prod. 161, 629–645 (2017)
Pamučar, D., Mihajlović, M., Obradović, R., Atanasković, P.: Novel approach to group multi-criteria decision making based on interval rough numbers: hybrid DEMATEL-ANP-MAIRCA model. Expert Syst. Appl. 88, 58–80 (2017)
Roy, M.K., Ray, A., Pradhan, B.B.: Non-traditional machining process selection-an integrated approach. Int. J. Qual. Res. 11(1) (2017)
Arsenyan, J., Büyüközkan, G.: An integrated fuzzy approach for information technology planning in collaborative product development. Int. J. Prod. Res. 54(11), 3149–3169 (2016)
Ignatius, J., Rahman, A., Yazdani, M., Šaparauskas, J., Haron, S.H.: An integrated fuzzy ANP–QFD approach for green building assessment. J. Civ. Eng. Manag. 22(4), 551–563 (2016)
Anusha, C., Parappilly, J.J., Sangaiah, A.K.: A new MCDM approach integrating QFD, dematel with TOPSIS for exploring the effect of social network usage on academic performance. IIOAB J. 6(4), 32–42 (2015)
Büyüközkan, G., Çifçi, G.: An extended quality function deployment incorporating fuzzy logic and GDM under different preference structures. Int. J. Comput. Intell. Syst. 8(3), 438–454 (2015)
Büyüközkan, G., Güleryüz, S.: Extending fuzzy QFD methodology with GDM approaches: an application for IT planning in collaborative product development. Int. J. Fuzzy Syst. 17(4), 544–558 (2015)
Wang, C.H.: Using quality function deployment to conduct vendor assessment and supplier recommendation for business-intelligence systems. Comput. Ind. Eng. 84, 24–31 (2015)
Karsak, E.E., Dursun, M.: An integrated fuzzy MCDM approach for supplier evaluation and selection. Comput. Ind. Eng. 82, 82–93 (2015)
Dursun, M., Karsak, E.E.: Fuzzy decision approach based on QFD and FWA for selection of medical suppliers. Proc. World Congr. Eng. 2, 1–3 (2015)
Li, M., Jin, L., Wang, J.: A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user’s perspective in intuitionistic fuzzy environment. Appl. Soft Comput. 21, 28–37 (2014)
Onut, S., Tosun, S.: An integrated methodology for supplier selection under the presence of vagueness: a case in banking sector, Turkey. J. Appl. Math. (2014)
Ayağ, Z., Samanlioglu, F., Büyüközkan, G.: A fuzzy QFD approach to determine supply chain management strategies in the dairy industry. J. Intell. Manuf. 24(6), 1111–1122 (2013)
Büyüközkan, G., Çifçi, G.: An integrated QFD framework with multiple formatted and incomplete preferences: a sustainable supply chain application. Appl. Soft Comput. 13(9), 3931–3941 (2013)
Dursun, M., Karsak, E.E.: A QFD-based fuzzy MCDM approach for supplier selection. Appl. Math. Model. 37(8), 5864–5875 (2013)
Wey, W.M., Chiu, Y.H.: Assessing the walkability of pedestrian environment under the transit-oriented development. Habitat Int. 38, 106–118 (2013)
Büyüközkan, G., Çifçi, G.: A new incomplete preference relations based approach to quality function deployment. Inf. Sci. 206, 30–41 (2012)
Wang, C.H., Chen, J.N.: Using quality function deployment for collaborative product design and optimal selection of module mix. Comput. Ind. Eng. 63(4), 1030–1037 (2012)
Büyüközkan, G., Berkol, Ç.: Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment. Expert Syst. Appl. 38(11), 13731–13748 (2011)
Liu, H.T.: Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Appl. Math. Model. 35(1), 482–496 (2011)
Bhattacharya, A., Geraghty, J., Young, P.: Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environment. Appl. Soft Comput. 10(4), 1013–1027 (2010)
Feyzioğlu, O., Büyüközkan, G.: An integrated group decision-making approach for new product development. Int. J. Comput. Integr. Manuf. 21(4), 366–375 (2008)
Büyüközkan, G., Feyzioğlu, O., Ruan, D.: Fuzzy group decision-making to multiple preference formats in quality function deployment. Comput. Ind. 58(5), 392–402 (2007)
Büyüközkan, G., Feyzioğlu, O.: Group decision making to better respond customer needs in software development. Comput. Ind. Eng. 48(2), 427–441 (2005)
Ertay, T., Büyüközkan, G., Kahraman, C., Ruan, D.: Quality function deployment implementation based on analytic network process with linguistic data: an application in automotive industry. J. Intell. Fuzzy Syst. 16(3), 221–232 (2005)
Chan, L.K., Kao, H.P., Wu, M.L.: Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods. Int. J. Prod. Res. 37(11), 2499–2518 (1999)
Akao, Y., King, B., Mazur, G.H.: Quality Function Deployment: Integrating Customer Requirements into Product Design, vol. 21. Productivity Press, Cambridge, MA (1990)
Hauser, J.R., Clausing, D.: The House of Quality, pp. 1–13. Harvard Business Review (1988)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Ross, T.J.: Fuzzy Logic with Engineering Applications. Wiley (2005)
Wu, H., Tzeng, G., Chen, Y.: A fuzzy MCDM approach for evaluating banking performance based on balanced scorecard. Expert Syst. Appl. 36(6), 10135–10147 (2009)
Kulak, O., Kahraman, C.: Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Inf. Sci. 170, 191–210 (2005)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Büyüközkan, G.: Determining the mobile commerce user requirements using an analytic approach. Comput. Stand. Interfaces 31(1), 144–152 (2009)
Büyüközkan, G., Çifçi, G., Güleryüz, S.: Strategic analysis of healthcare service quality using fuzzy AHP methodology. Expert Syst. Appl. 38(8), 9407–9424 (2011)
Büyüközkan, G.: Multi-criteria decision making for e-marketplace selection. Internet Res. 14(2), 139–154 (2004)
Büyüközkan, G., Çifçi, G.: A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry. Expert Syst. Appl. 39(3), 2341–2354 (2012)
Lee, A.R.: Application of modified fuzzy AHP method to analyze bolting sequence of structural joints. UMI Dissertation Service, A Bell & Howell Company (1999)
Gergin, Z., Akbas, M., Akture, A.O., Yurt, M.F.: Kalite Fonksiyonu Göçerimi Yöntemiyle Müşterinin Marka Algısının Arttırılması: Taşınabilir Şarj Cihazları Üreten Bir Firmada Uygulama (2018)
Zhu, Z., Johguchi, K., Mattausch, H.J., Koide, T., Hironaka, T.: Low power bank-based multi-port SRAM design due to bank standby mode. In: The 2004 47th Midwest Symposium on Circuits and Systems, MWSCAS’0 (2004)
Acknowledgements
The authors would like to thank the industrial experts for their support, as well as acknowledge the grants of Galatasaray University Research Fund (Projects Numbers: 19.402.001, 19.402.003 and 19.402.006).
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Büyüközkan, G., Güler, M., Mukul, E. (2020). An Integrated Fuzzy QFD Methodology for Customer Oriented Multifunctional Power Bank 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_5
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