Abstract
Quality function deployment (QFD) is comprised of two major group decision-making processes. One is to collect the customer requirements from a group of customers, whereas the other is to determine the relationship between customer requirements and technical measures by a cross-functional team. Generally, different and/or even subjective opinions are quite often in a group decision-making process due to the limitations of experience and impreciseness. Obviously, the importance of each customer requirement and the relationship between customer requirements and technical measures are determined by a group of people with imprecision and vagueness. Under such circumstances, a fuzzy group decision-making approach can be applied in QFD to deal with a group decision-making process when the information is imprecise and fuzzy. Moreover, an example is provided as well as the computational steps to show this fuzzy group decision-making approach can be effectively used in QFD to make decisions with imprecision and vagueness.
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References
Arrow, K.J.: Social choice and individual values, 2nd edn. Wiley, New York (1963)
Bossert, J.L.: Quality Function Deployment, A Practitioner’s Approach. ASQC Quality Press, Milwaukee (1991)
Chan, L.K., Wu, M.L.: Quality function deployment: a literature review. Eur. J. Oper. Res. 143, 463–497 (2002)
Chan, L.K., Wu, M.L.: Quality function deployment: a comprehensive review of its concepts and methods. Qual. Eng. 15(1), 23–25 (2002–2003)
Chen, H.-K., Chen, H.-Y., Wu, H.-H., Lin, W.-T.: TQM implementation in a healthcare and pharmaceutical logistics organization: the case of Zuellig Pharma in Taiwan. Total Qual. Manage. Bus. Excell. 15(9&10), 1171–1178 (2004)
Clausing, D.: Total Quality Development: A Step-by-Step Guide to World-Class Concurrent Engineering. ASME Press, New York (1994)
Cohen, L.: Quality Function Deployment: How to Make QFD Work for you
Dubois, D., Prade, H.: Operations on fuzzy numbers. Int. J. Syst. Sci. 9(6), 613–626 (1978)
Fung, R.Y.K., Popplewell, K., Xie, J.: An intelligent hybrid system for customer requirements analysis and product attribute targets determination. Int. J. Prod. Res. 36(1), 13–34 (1998)
Griffin, A., Hauser, J.: Voice of the customer. Mark. Sci. 12, 1–27 (1993)
Gryna, F.M.: Quality planning and analysis: from product development through use. McGraw-Hill International Edition, New York (2001)
Han, C.H., Kim, J.K., Choi, S.H.: Prioritizing engineering characteristics in quality function deployment with incomplete information: a linear partial ordering approach. Int. J. Prod. Econ. 91, 235–249 (2004)
Hauser, J.R., Clausing, D.: The house of quality. Harv. Bus. Rev. 66(3), 63–73 (1988)
Kaufmann, A., Gupta, M.M.: Introduction to Fuzzy Arithmetic. Van Nostrand, New York (1985)
Kim, K.-J., Moskowitz, D.A., Evans, G.: Fuzzy multicriteria models for quality function deployment. Eur. J. Oper. Res. 121, 504–518 (2000)
Kondo, Y.: Customer satisfaction: how can I measure it?. Total Qual. Manage. Bus. Excell. 12(7&8), 867–872 (2001)
Kuo, T.-C., Wu, H.-H.: Green products development by applying grey relational analysis and green quality function deployment. Int. J. Fuzzy Syst. 5(4), 229–238 (2003)
Li, R.J.: Fuzzy method in group decision making. Comput. Math. Appl. 38, 91–101 (1999)
Liang, G.-S., Wang, M.-J.J.: A fuzzy multi-criteria decision-making approach for robot selection. Rob. Comput.-Integr. Manu. 10(4), 267–279 (1993)
Nakamura, K.: Preference relations on a set of fuzzy utilities as a basis for decision making. Fuzzy Sets Syst. 20, 147–162 (1986)
Ramaswamy, R.: Design and Management of Service Processes: Keeping Customers for Life. Addison-Wesley Publication Company, MA (1996)
Sullivan, L.P.: Quality function deployment. Qual. Prog. 19(6), 39–50 (1986)
Tan, K.C., Shen, X.X.: Integrating Kano’s model in the planning matrix of quality function deployment. Total Qual. Manag. 11(8), 1141–1151 (2000)
Temponi, C., Yen, J., Tiao, W.A.: House of quality: a fuzzy logic-based requirements analysis. Eur. J. Oper. Res. 117, 340–354 (1999)
Vanegas, L.V., Labib, A.W.: A fuzzy quality function deployment (FQFD) model for deriving optimum targets. Int. J. Prod. Res. 39(1), 99–120 (2001)
Wang, J.: Fuzzy outranking approach to prioritize design requirements in quality function deployment. Int. J. Prod. Res. 37(4), 899–916 (1999)
Wu, H.-H.: Implementing grey relational analysis in quality function deployment to strengthen multiple attribute decision making processes. J. Qual. 9(2), 19–39 (2002)
Wu, H.-H.: A comparative study of using grey relational analysis in multiple attribute decision making problems. Qual. Eng. 15(2), 209–217 (2002–2003)
Wu, H.-H., Liao, A.Y.H., Wang, P.-C.: Using grey theory in quality function deployment to analyse dynamic customer requirements. Int. J. Adv. Manuf. Technol. 24 (2004). DOI: 10.1007/s00170-003-1948-8
Yuan, Y.: Criteria for evaluating fuzzy ranking methods. Fuzzy Sets Syst. 44, 139–157 (1991)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning (I). Inf. Sci. 8, 199–249 (1975a)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning (II). Inf. Sci. 8, 301–357 (1975b)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Inf. Sci. 9, 43–80 (1976)
Zhou, M.: Fuzzy logic and optimization models for implementing QFD. Comput. Ind. Eng. 35, 237–240 (1998)
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Liu, CH., Wu, HH. A fuzzy group decision-making approach in quality function deployment. Qual Quant 42, 527–540 (2008). https://doi.org/10.1007/s11135-007-9151-x
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DOI: https://doi.org/10.1007/s11135-007-9151-x