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A Probabilistic Model for Prioritizing Engineering Design Requirements in Uncertain QFD

  • Conference paper
Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8032))

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Abstract

Quality function deployment (QFD) is a planning and problem-solving tool gaining wide acceptance for translating customer requirements (CRs) into the design requirements (DRs) of a product. Deriving the priority order of DRs from input variables is a crucial step in applying QFD. Due to the inherent vagueness or impreciseness in QFD, the use of fuzzy linguistic variables for prioritizing DRs has become more and more important in QFD applications. This paper proposes a probabilistic model for prioritizing engineering DRs in QFD based on the order-based semantics of linguistic information and fuzzy preference relations of linguistic profiles, under random interpretations of customers, design team, and CRs. A case study taken from the literature is used to illuminate the proposed technique and to compare with the previous techniques. This approach enhances the fuzzy-computation-based models proposed in the previous studies by eliminate the burden of quantifying qualitative concepts.

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References

  1. Chen, L.H., Ko, W.C.: Fuzzy nonlinear models for new product development using four-phase quality function deployment processes. IEEE Trans. Syst. Man Cybern. Syst. Hum. 41(5), 927–945 (2011)

    Article  Google Scholar 

  2. Chen, L.H., Weng, M.C.: An evaluation approach to engineering design in QFD processes using fuzzy goal programming models. Eur. J. Oper. Res. 172, 230–248 (2006)

    Article  MATH  Google Scholar 

  3. Chen, Y., Fung, R.Y., Tang, J.: Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator. Eur. J. Oper. Res. 174(3), 1553–1566 (2006)

    Article  MATH  Google Scholar 

  4. Herrera, F., Martínez, L.: A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 8(6), 746–752 (2000)

    Article  Google Scholar 

  5. Kao, C., Liu, S.T.: Fractional programming approach to fuzzy weighted average. Fuzzy Set Syst. 120(3), 435–444 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  6. Khoo, L.P., Ho, N.C.: Framework of a fuzzy quality function deployment system. Int. J. Prod. Res. 34(2), 299–311 (1996)

    Article  MATH  Google Scholar 

  7. Kwong, C.K., Ye, Y., Chen, Y., Choy, K.L.: A novel fuzzy group decision making approach to prioritising engineering characteristics in QFD under uncertainties. Int. J. Prod. Res. 49(19), 5801–5820 (2011)

    Article  Google Scholar 

  8. Liu, B., Liu, K.L.: Expected value of fuzzy variable and fuzzy expected value models. IEEE Trans. Fuzzy Syst. 10(4), 445–450 (2002)

    Article  Google Scholar 

  9. Liu, C.H., Wu, H.H.: A fuzzy group decision-making approach in quality function deployment. Quality and Quantity 42(4), 527–540 (2008)

    Article  Google Scholar 

  10. Liu, S.T.: Rating design requirements in fuzzy quality function deployment via a mathematical programming approach. Int. J. Prod. Res. 43(3), 497–513 (2005)

    Article  MATH  Google Scholar 

  11. Shen, X.X., Tan, K.C., Xie, M.: The implementation of quality function deployment based on linguistic data. J. Intell. Manuf. 12(1), 65–75 (2001)

    Article  Google Scholar 

  12. Wang, J.: Fuzzy outranking approach to prioritize design requirements in quality function deployment. Int. J. Prod. Res. 37(4), 899–916 (1999)

    Article  MATH  Google Scholar 

  13. Wang, Y.M.: Centroid defuzzification and the maximizing set and minimizing set ranking based on alpha level sets. Comput. Ind. Eng. 57(1), 228–236 (2009)

    Article  Google Scholar 

  14. Wang, Y.M.: A fuzzy-normalisation-based group decision making approach for prioritising engineering design requirements in QFD under uncertainty. Int. J. Prod. Res. 50(23), 6963–6977 (2012)

    Article  Google Scholar 

  15. Zadeh, L.A.: Fuzzy sets. Inform. Contr. 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  16. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning–Part I. Inform. Sci. 8(3), 199–249 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  17. Zhou, M.: Fuzzy logic and optimization models for implementing QFD. Comput. Ind. Eng. 35(1-2), 237–240 (1998)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Business, East China University of Science and Technology, Meilong Road 130, Shanghai, 200237, P.R. China

    Hong-Bin Yan & Tieju Ma

Authors
  1. Hong-Bin Yan
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  2. Tieju Ma
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Editor information

Editors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, 37 Xueyuan Road, 100191, Beijing, China

    Zengchang Qin

  2. School of Knowledge Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai Nomi, 923-1292, Ishikawa, Japan

    Van-Nam Huynh

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Yan, HB., Ma, T. (2013). A Probabilistic Model for Prioritizing Engineering Design Requirements in Uncertain QFD. In: Qin, Z., Huynh, VN. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2013. Lecture Notes in Computer Science(), vol 8032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39515-4_3

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  • DOI: https://doi.org/10.1007/978-3-642-39515-4_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39514-7

  • Online ISBN: 978-3-642-39515-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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