Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach. (English) Zbl 1101.68837

Büyüközkan, Gülçin; Ertay, Tijen; Kahraman, Cengiz; Ruan, Da

Int. J. Intell. Syst. 19, No. 5, 443-461 (2004).

Summary: Quality function deployment has been used to translate Customer Needs (CNs) and wants into technical Design Requirements (DRs) in order to increase customer satisfaction. QFD uses the house of quality, which is a matrix providing a conceptual map for the design process, as a construct for understanding CNs and establishing priorities of DRs to satisfy them. This article uses the Analytic Network Process (ANP), the general form of the analytic hierarchy process, to prioritize DRs by taking into account the degree of the interdependence between the CNs and DRs and the inner dependence among them. In addition, because human judgment on the importance of requirements is always imprecise and vague, this work concentrates on a fuzzy ANP approach in which triangular fuzzy numbers are used to improve the quality of the responsiveness to CNs and DRs. A numerical example is presented to show the proposed methodology.

MSC:

68T20

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.)

Keywords:

Analytic Network Process; analytic hierarchy process

References:

[1]	Hauser, The house of quality, Harv Bus Rev 66 pp 63– (1988)
[2]	Griffin, The voice of the customer, Market Sci 12 (1) pp 1– (1993)
[3]	Saaty, The analytic hierarchy process (1980) · Zbl 0587.90002
[4]	Akao, Quality function deployment: Integrating customer requirements into product design (1990)
[5]	Armacost, An AHP framework for prioritizing custom requirements in QFD: An industrialized housing application, IIE Trans 26 (4) pp 72– (1994)
[6]	Doukas L William PW Jeyaratnam C Integrating quality factors into system design 1995 235 240
[7]	Fukuda S Matsuura Y Prioritizing the customer’s requirements by AHP for concurrent design 1993 13 19
[8]	Xie M Goh TN Xie W Prioritizing processes for better implementation of statistical process control techniques 1995 260 263
[9]	Saaty, Decision making with dependence and feedback: The analytic network process (1996)
[10]	Partovi, An analytic model to quantify strategic service vision, Int J Serv Indust Manage 12 (5) pp 476– (2001)
[11]	Partovi, Quality function deployment for the good of soccer, Eur J Oper Res 137 (3) pp 642– (2002) · Zbl 1029.90513
[12]	Karsak, Product planning in quality function deployment using a combined analytic network process and goal programming approach, Comput Indust Eng 44 pp 171– (2002)
[13]	Khoo, Framework of a fuzzy quality function deployment system, Int J Prod Res 34 pp 299– (1996) · Zbl 0924.90083
[14]	Fung, An intelligent hybrid system for customer requirement analysis and product attribute targets determination, Int J Prod Res 36 pp 13– (1998) · Zbl 0951.90533
[15]	Chan, Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods, Int J Prod Res 37 (11) pp 2499– (1999) · Zbl 0949.90564
[16]	Saaty, Dependence and independence: From linear hierarchies to nonlinear networks, Euro J Oper Res 26 pp 229– (1986) · Zbl 0599.90067
[17]	Saaty, Diagnosis with dependent symptoms: Bayes theorem and the analytic hierarchy process, Oper Res 46 (4) pp 491– (1998) · Zbl 0987.90532
[18]	Hämäläinen, The analytic network process in energy policy planning, Socioecon Plan Sci 20 (6) pp 399– (1986)
[19]	Meade, Strategic analysis of logistics and supply chain management systems using the analytical network process, Transport Res Part E Log Transport Rev 34 (3) pp 201– (1998)
[20]	Lee, Using analytic network process and goal programming for interdependent information system project selection, Comp Oper Res 27 pp 367– (2000) · Zbl 0973.90015
[21]	Lee, An integrated approach for interdependent information system project selection, Int J Proj Manage 19 pp 111– (2001)
[22]	Sarkis, A strategic decision framework for green supply chain management, J Clean Prod 11 (4) pp 397– (2003)
[23]	Zadeh, Fuzzy sets, Inf Control 8 pp 338– (1965) · Zbl 0139.24606
[24]	Kaufmann, Introduction to fuzzy arithmetic theory and applications (1991) · Zbl 0754.26012
[25]	Van Laarhoven, A fuzzy extension of Saaty’s priority theory, Fuzzy Sets Syst 11 pp 229– (1983) · Zbl 0528.90054
[26]	Buckley, Fuzzy hierarchical analysis, Fuzzy Sets Syst 17 pp 233– (1985) · Zbl 0602.90002
[27]	Chang, Optimization Techniques and Applications 1 pp 352– (1992)
[28]	Ching-Hsue, Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function, Eur J Oper Res 96 (2) pp 343– (1997) · Zbl 0924.90096
[29]	Leung, On consistency and ranking of alternatives in fuzzy AHP, Eur J Oper Res 124 (1) pp 102– (2000) · Zbl 0960.90097
[30]	Chang, Applications of the extent analysis method on fuzzy AHP, Eur J Oper Res 95 (3) pp 649– (1996) · Zbl 0926.91008
[31]	Kwong, Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach, IIE Trans 35 pp 619– (2003)
[32]	Bozdağ, Fuzzy group decision making for selection among computer integrated manufacturing systems, Comput Indust 51 (1) pp 13– (2003)
[33]	Büyüközhan, A fuzzy multi-criteria decision approach for software development strategy selection, Int J Gen Syst (2003)
[34]	Zhu, A discussion on extent analysis method and applications of fuzzy AHP, Euro J Oper Res 116 (2) pp 450– (1999) · Zbl 1009.90514
[35]	Wasserman, On how to prioritize design requirements during the QFD planning process, IIE Trans 25 (3) pp 59– (1993)