IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v201y2010i2p619-632.html
   My bibliography  Save this article

Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept

Author

Listed:
  • Chen, Liang-Hsuan
  • Ko, Wen-Chang

Abstract

Quality function deployment (QFD) is a customer-driven approach in processing new product development (NPD) to maximize customer satisfaction. Determining the fulfillment levels of the "hows", including design requirements (DRs), part characteristics (PCs), process parameters (PPs) and production requirements (PRs), is an important decision problem during the four-phase QFD activity process for new product development. Unlike previous studies, which have only focused on determining DRs, this paper considers the close link between the four phases using the means-end chain (MEC) concept to build up a set of fuzzy linear programming models to determine the contribution levels of each "how" for customer satisfaction. In addition, to tackle the risk problem in NPD processes, this paper incorporates risk analysis, which is treated as the constraint in the models, into the QFD process. To deal with the vague nature of product development processes, fuzzy approaches are used for both QFD and risk analysis. A numerical example is used to demonstrate the applicability of the proposed model.

Suggested Citation

  • Chen, Liang-Hsuan & Ko, Wen-Chang, 2010. "Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept," European Journal of Operational Research, Elsevier, vol. 201(2), pages 619-632, March.
    • Handle: RePEc:eee:ejores:v:201:y:2010:i:2:p:619-632
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(09)00160-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chan, Lai-Kow & Wu, Ming-Lu, 2005. "A systematic approach to quality function deployment with a full illustrative example," Omega, Elsevier, vol. 33(2), pages 119-139, April.
    2. Kahraman, Cengiz & Ertay, Tijen & Buyukozkan, Gulcin, 2006. "A fuzzy optimization model for QFD planning process using analytic network approach," European Journal of Operational Research, Elsevier, vol. 171(2), pages 390-411, June.
    3. Chan, Lai-Kow & Wu, Ming-Lu, 2002. "Quality function deployment: A literature review," European Journal of Operational Research, Elsevier, vol. 143(3), pages 463-497, December.
    4. Chen, Liang-Hsuan & Weng, Ming-Chu, 2006. "An evaluation approach to engineering design in QFD processes using fuzzy goal programming models," European Journal of Operational Research, Elsevier, vol. 172(1), pages 230-248, July.
    5. Chen, Yizeng & Fung, Richard Y.K. & Tang, Jiafu, 2006. "Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1553-1566, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Yan-Lai & Tang, Jia-Fu & Chin, Kwai-Sang & Jiang, Yu-Shi & Han, Yi & Pu, Yun, 2011. "Estimating the final priority ratings of engineering characteristics in mature-period product improvement by MDBA and AHP," International Journal of Production Economics, Elsevier, vol. 131(2), pages 575-586, June.
    2. Song-Man Wu & Hu-Chen Liu & Li-En Wang, 2017. "Hesitant fuzzy integrated MCDM approach for quality function deployment: a case study in electric vehicle," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4436-4449, August.
    3. Tsai, Sang-Bing & Yu, Jian & Ma, Li & Luo, Feng & Zhou, Jie & Chen, Quan & Xu, Lei, 2018. "A study on solving the production process problems of the photovoltaic cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3546-3553.
    4. Benedikt Müller-Stewens & Klaus Möller, 2017. "Performance in new product development: a comprehensive framework, current trends, and research directions," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 157-201, May.
    5. Yan, Hong-Bin & Ma, Tieju, 2015. "A group decision-making approach to uncertain quality function deployment based on fuzzy preference relation and fuzzy majority," European Journal of Operational Research, Elsevier, vol. 241(3), pages 815-829.
    6. Chen, Liang-Hsuan & Ko, Wen-Chang & Yeh, Feng-Ting, 2017. "Approach based on fuzzy goal programing and quality function deployment for new product planning," European Journal of Operational Research, Elsevier, vol. 259(2), pages 654-663.
    7. Wu, Xin & Nie, Lei & Xu, Meng, 2017. "Robust fuzzy quality function deployment based on the mean-end-chain concept: Service station evaluation problem for rail catering services," European Journal of Operational Research, Elsevier, vol. 263(3), pages 974-995.
    8. Sang-Bing Tsai & Jie Zhou & Yang Gao & Jiangtao Wang & Guodong Li & Yuxiang Zheng & Peng Ren & Wei Xu, 2017. "Combining FMEA with DEMATEL models to solve production process problems," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    9. Kamvysi, Konstantina & Gotzamani, Katerina & Andronikidis, Andreas & Georgiou, Andreas C., 2014. "Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1083-1094.
    10. Yilmaz, Omer Faruk & Ozcelik, Gokhan & Yeni, Fatma Betul, 2020. "Lean holistic fuzzy methodology employing cross-functional worker teams for new product development projects: A real case study from high-tech industry," European Journal of Operational Research, Elsevier, vol. 282(3), pages 989-1010.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carnevalli, Jose A. & Miguel, Paulo Cauchick, 2008. "Review, analysis and classification of the literature on QFD--Types of research, difficulties and benefits," International Journal of Production Economics, Elsevier, vol. 114(2), pages 737-754, August.
    2. Li, Yan-Lai & Tang, Jia-Fu & Chin, Kwai-Sang & Jiang, Yu-Shi & Han, Yi & Pu, Yun, 2011. "Estimating the final priority ratings of engineering characteristics in mature-period product improvement by MDBA and AHP," International Journal of Production Economics, Elsevier, vol. 131(2), pages 575-586, June.
    3. Kamvysi, Konstantina & Gotzamani, Katerina & Andronikidis, Andreas & Georgiou, Andreas C., 2014. "Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1083-1094.
    4. Yan, Hong-Bin & Ma, Tieju, 2015. "A group decision-making approach to uncertain quality function deployment based on fuzzy preference relation and fuzzy majority," European Journal of Operational Research, Elsevier, vol. 241(3), pages 815-829.
    5. Jia Huang & Ling-Xiang Mao & Hu-Chen Liu & Min-shun Song, 2022. "Quality function deployment improvement: A bibliometric analysis and literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1347-1366, June.
    6. Iranmanesh, Hossein & Thomson, Vince, 2008. "Competitive advantage by adjusting design characteristics to satisfy cost targets," International Journal of Production Economics, Elsevier, vol. 115(1), pages 64-71, September.
    7. J-B Yang & D-L Xu & X Xie & A K Maddulapalli, 2011. "Multicriteria evidential reasoning decision modelling and analysis—prioritizing voices of customer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1638-1654, September.
    8. Dr. Nasser Fegh-hi Farahmand, 2013. "Teaching Strategy as Excellence Organization Mission," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 4(2), pages 16-28, May.
    9. Weiqiang Jia & Zhenyu Liu & Zhiyun Lin & Chan Qiu & Jianrong Tan, 2016. "Quantification for the importance degree of engineering characteristics with a multi-level hierarchical structure in QFD," International Journal of Production Research, Taylor & Francis Journals, vol. 54(6), pages 1627-1649, March.
    10. Chen, Liang-Hsuan & Ko, Wen-Chang & Yeh, Feng-Ting, 2017. "Approach based on fuzzy goal programing and quality function deployment for new product planning," European Journal of Operational Research, Elsevier, vol. 259(2), pages 654-663.
    11. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2015. "A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh☆,☆☆☆This manuscript was pro," Omega, Elsevier, vol. 57(PA), pages 5-21.
    12. Wu, Xin & Nie, Lei & Xu, Meng, 2017. "Robust fuzzy quality function deployment based on the mean-end-chain concept: Service station evaluation problem for rail catering services," European Journal of Operational Research, Elsevier, vol. 263(3), pages 974-995.
    13. Heidarzadeh, Elham & Sajadnia, Sahar, 2017. "Using Simulation and Six-Sigma Tools in Improving Process Flow in Outpatient Clinics," MPRA Paper 82436, University Library of Munich, Germany.
    14. Jun-Jie Dong & Jian-Zhang Wu & Endre Pap & Aniko Szakal, 2017. "A Choquet Capacity and Integral Based Method to Identify the Overall Importance of Engineering Characteristics in Quality Function Deployment," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(4), pages 297-314.
    15. Schillo, R. Sandra & Isabelle, Diane A. & Shakiba, Abtin, 2017. "Linking advanced biofuels policies with stakeholder interests: A method building on Quality Function Deployment," Energy Policy, Elsevier, vol. 100(C), pages 126-137.
    16. Hsin-Hung Wu & Jiunn-I Shieh, 2008. "Applying a markov chain model in quality function deployment," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(5), pages 665-678, October.
    17. Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.
    18. Xiaobing Li & Zhen He, 2017. "Determining importance ratings of patients’ requirements with multi-granular linguistic evaluation information," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 4110-4122, July.
    19. Ramanathan, Ramakrishnan & Yunfeng, Jiang, 2009. "Incorporating cost and environmental factors in quality function deployment using data envelopment analysis," Omega, Elsevier, vol. 37(3), pages 711-723, June.
    20. Parra-López, Carlos & Groot, Jeroen C.J. & Carmona-Torres, Carmen & Rossing, Walter A.H., 2008. "Integrating public demands into model-based design for multifunctional agriculture: An application to intensive Dutch dairy landscapes," Ecological Economics, Elsevier, vol. 67(4), pages 538-551, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:201:y:2010:i:2:p:619-632. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.