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A linear goal programming approach to determining the relative importance weights of customer requirements in quality function deployment

Published: 01 December 2011 Publication History

Abstract

Quality function deployment (QFD) is a planning tool used in new product development and quality management. It aims at achieving maximum customer satisfaction by listening to the voice of customers. To implement QFD, customer requirements (CRs) should be identified and assessed first. The current paper proposes a linear goal programming (LGP) approach to assess the relative importance weights of CRs. The LGP approach enables customers to express their preferences on the relative importance weights of CRs in their preferred or familiar formats, which may differ from one customer to another but have no need to be transformed into the same format, thus avoiding information loss or distortion. A numerical example is tested with the LGP approach to demonstrate its validity, effectiveness and potential applications in QFD practice.

References

[1]
Akao, Y., Quality Function Deployment: Integrating Customer Requirements into Product Design. 1990. Productivity Press, Cambridge, MA.
[2]
Armacost, R.L., Componation, P.J., Mullens, M.A. and Swart, W.W., An AHP framework for prioritizing customer requirements in QFD: an industrialized housing application. IIE Transactions. v26 i4. 72-79.
[3]
Bhattacharya, A., Sarkar, B. and Mukherjee, S.K., Integrating AHP with QFD for robot selection under requirement perspective. International Journal of Production Research. v43 i17. 3671-3685.
[4]
Büyüközkan, G. and Feyzioğlu, O., Group decision making to better respond customer needs in software development. Computers and Industrial Engineering. v48 i2. 427-441.
[5]
Büyüközkan, G., Feyzioğlu, O. and Ruan, D., Fuzzy group decision-making to multiple preference formats in quality function deployment. Computers in Industry. v58. 392-402.
[6]
Chan, L.K., Kao, H.P., Ng, A. and Wu, M.L., Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods. International Journal of Production Research. v37 i11. 2499-2518.
[7]
Chan, L.K. and Wu, M.L., A systematic approach to quality function deployment with a full illustrative example. Omega. v33 i2. 119-139.
[8]
Chen, S.C., Yang, C.C., Lin, W.T., Yeh, T.M. and Lin, Y.S., Construction of key model for knowledge management system using AHP-QFD for semiconductor industry in Taiwan. Journal of Manufacturing Technology Management. v18 i5. 576-598.
[9]
Ertay, T., Büyüközkan, G., Kahraman, C. and Ruan, D., Quality function deployment implementation based on analytic network process with linguistic data: an application in automotive industry. Journal of Intelligent and Fuzzy Systems. v16 i3. 221-232.
[10]
Hsu, T.H. and Lin, L.Z., QFD with fuzzy and entropy weights for evaluating retail customer values. Total Quality Management. v17 i7. 935-958.
[11]
Kahraman, C., Ertay, T. and Büyüközkan, G., A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research. v171 i2. 390-411.
[12]
Karsak, E.E., Sozer, S. and Alptekin, S.E., Product planning in quality function deployment using a combined analytic network process and goal programming approach. Computers and Industrial Engineering. v44 i1. 171-190.
[13]
Kwong, C.K. and Bai, H., Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IIE Transactions. v35 i7. 619-626.
[14]
Kwong, C.K. and Bai, H., A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of Intelligent Manufacturing. v13 i5. 367-377.
[15]
Li, Y.L., Tang, J.F. and Luo, X.G., An ECI-based methodology for determining the final importance ratings of customer requirements in MP product improvement. Expert Systems with Applications. v37 i9. 6240-6250.
[16]
Ma, J., Fan, Z.P., Jiang, Y.P. and Mao, J.Y., An optimization approach to multiperson decision making based on different formats of preference information. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. v36 i5. 876-888.
[17]
Mehdizadeh, E., Ranking of customer requirements using the fuzzy centroid-based method. International Journal of Quality and Reliability Management. v27 i2. 201-206.
[18]
Nepal, B., Yadav, O.P. and Murat, A., A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development. Expert Systems with Applications. v37 i10. 6775-6786.
[19]
Pal, D.K., Ravi, B. and Bhargava, L.S., Rapid tooling route selection for metal casting using QFD-ANP methodology. International Journal of Computer Integrated Manufacturing. v20 i4. 338-354.
[20]
Prasad, D.K.G., Subbaiah, V.K., Rao, N.K. and Sastry, C.V.R.S., Prioritization of customer needs in house of quality using conjoint analysis. International Journal for Quality Research. v4 i2. 145-154.
[21]
Saaty, T.L., The Analytic Hierarchy Process. 1980. McGraw-Hill, New York.
[22]
Shen, X.X., Xie, M. and Tan, K.C., Listening to the future voice of the customer using fuzzy trend analysis in QFD. Quality Engineering. v13 i3. 419-425.
[23]
Tanino, T., Fuzzy preference orderings in group decision making. Fuzzy Sets and Systems. v12. 117-131.
[24]
Wang, Y.M. and Elhag, T.M.S., On the normalization of interval and fuzzy weights. Fuzzy Sets and Systems. v157. 2456-2471.
[25]
Wang, Y.M. and Parkan, C., Multiple attribute decision-making based on fuzzy preference information on alternatives: ranking and weighting. Fuzzy Sets and Systems. v153. 331-346.
[26]
Wasserman, G.S., On how to prioritize design requirements during the QFD planning process. IIE Transactions. v25 i3. 59-65.
[27]
Wu, H.H., Liao, A.Y.H. and Wang, P.C., Using grey theory in quality function deployment to analyse dynamic customer requirements. International Journal of Advanced Manufacturing Technology. v25. 1241-1247.
[28]
Wu, H.H. and Shieh, J.I., Using a Markov chain model in quality function deployment to analyse customer requirements. International Journal of Advanced Manufacturing Technology. v25. 1241-1247.
[29]
Xu, Z. and Cai, X., Group consensus algorithms based on preference relations. Information Sciences. v181 i1. 150-162.

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  • (2023)An interval valued Pythagorean fuzzy AHP integrated quality function deployment methodology for hazelnut production in TurkeyExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.120708231:COnline publication date: 30-Nov-2023
  • (2021)A BWM-based approach for customer-oriented product development with insufficient information and its application to 5 G smartphone designJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21079940:6(12443-12458)Online publication date: 1-Jan-2021
  • (2017)A Novel Fuzzy Integrated Customer Needs Prioritization Software Tool for Effective Design of Online Shopping WebsitesInternational Journal of Operations Research and Information Systems10.4018/IJORIS.20171001028:4(23-42)Online publication date: 1-Oct-2017
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Information & Contributors

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Published In

cover image Information Sciences: an International Journal
Information Sciences: an International Journal  Volume 181, Issue 24
December, 2011
228 pages

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 December 2011

Author Tags

  1. Customer preference
  2. Customer requirement
  3. Goal programming
  4. Group decision making
  5. Preference format
  6. Quality function deployment

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Cited By

View all
  • (2023)An interval valued Pythagorean fuzzy AHP integrated quality function deployment methodology for hazelnut production in TurkeyExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.120708231:COnline publication date: 30-Nov-2023
  • (2021)A BWM-based approach for customer-oriented product development with insufficient information and its application to 5 G smartphone designJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21079940:6(12443-12458)Online publication date: 1-Jan-2021
  • (2017)A Novel Fuzzy Integrated Customer Needs Prioritization Software Tool for Effective Design of Online Shopping WebsitesInternational Journal of Operations Research and Information Systems10.4018/IJORIS.20171001028:4(23-42)Online publication date: 1-Oct-2017
  • (2016)An improved grey quality function deployment approach using the grey TRIZ techniqueComputers and Industrial Engineering10.1016/j.cie.2015.11.00392:C(57-71)Online publication date: 1-Feb-2016
  • (2012)Managing logistics customer service under uncertaintyInformation Sciences: an International Journal10.1016/j.ins.2012.03.004202(41-57)Online publication date: 1-Oct-2012
  • (2012)A linguistic evaluation approach for universal designInformation Sciences: an International Journal10.1016/j.ins.2011.11.044190(76-94)Online publication date: 1-May-2012

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