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Hesitant fuzzy integrated MCDM approach for quality function deployment: a case study in electric vehicle

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  • Song-Man Wu
  • Hu-Chen Liu
  • Li-En Wang

Abstract

Quality function deployment (QFD) is a product planning management instrument which has been used in a broad range of industries. However, the traditional QFD method has been criticised much for its deficiencies in acquiring experts’ opinions, weighting customer requirements (CRs) and ranking engineering characteristics (ECs). To overcome the limitations, an integrated analytical model is presented in this study for obtaining the importance ratings of ECs in QFD by integrating decision-making trial and evaluation laboratory (DEMATEL) technique and Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method under hesitant fuzzy environment. In particular, the hesitant fuzzy DEMATEL is used to analyse the interrelationships among CRs and determine their weights, and the hesitant fuzzy VIKOR is utilised to prioritise ECs. Finally, the feasibility and practicality of the proposed method are verified by an example regarding the product development of electric vehicle.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:15:p:4436-4449
    DOI: 10.1080/00207543.2016.1259670
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    3. Choudhary, Divya & Qaiser, Fahham Hasan & Choudhary, Alok & Fernandes, Kiran, 2022. "A model for managing returns in a circular economy context: A case study from the Indian electronics industry," International Journal of Production Economics, Elsevier, vol. 249(C).
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    5. Hasan Dinçer & Serhat Yüksel & Seçil Şenel, 2018. "Analyzing the Global Risks for the Financial Crisis after the Great Depression Using Comparative Hybrid Hesitant Fuzzy Decision-Making Models: Policy Recommendations for Sustainable Economic Growth," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    6. Chao Song & Jian-Qiang Wang & Jun-Bo Li, 2020. "New Framework for Quality Function Deployment Using Linguistic Z-Numbers," Mathematics, MDPI, vol. 8(2), pages 1-20, February.
    7. Zhou, Kaile & Cheng, Lexin & Wen, Lulu & Lu, Xinhui & Ding, Tao, 2020. "A coordinated charging scheduling method for electric vehicles considering different charging demands," Energy, Elsevier, vol. 213(C).
    8. Vytautas Palevičius & Askoldas Podviezko & Henrikas Sivilevičius & Olegas Prentkovskis, 2018. "Decision-Aiding Evaluation of Public Infrastructure for Electric Vehicles in Cities and Resorts of Lithuania," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    9. Yinfeng Du & Dun Liu, 2021. "A novel approach to relative importance ratings of customer requirements in QFD based on probabilistic linguistic preferences," Fuzzy Optimization and Decision Making, Springer, vol. 20(3), pages 365-395, September.
    10. Jalil Heidary Dahooie & Amir Salar Vanaki & Hamid Reza Firoozfar & Edmundas Kazimieras Zavadskas & Audrius Čereška, 2020. "An Extension of the Failure Mode and Effect Analysis with Hesitant Fuzzy Sets to Assess the Occupational Hazards in the Construction Industry," IJERPH, MDPI, vol. 17(4), pages 1-22, February.
    11. Hua Shi & Ling-Xiang Mao & Ke Li & Xiang-Hu Wang & Hu-Chen Liu, 2022. "Engineering Characteristics Prioritization in Quality Function Deployment Using an Improved ORESTE Method with Double Hierarchy Hesitant Linguistic Information," Sustainability, MDPI, vol. 14(15), pages 1-19, August.

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