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QFD and Fuzzy Kano model based approach for classification of aesthetic attributes of SUV car profile

Author

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  • Shwetank Avikal

    (Graphic Era Hill University)

  • Rohit Singh

    (Graphic Era Hill University)

  • Rashmi Rashmi

    (Graphic Era Hill University)

Abstract

The aesthetic appearance and features of a product are the most censorious elements for the accomplishment of a product in the industry. An aesthetic is the quality element which adds value to the product design. Product design is a basic need of every manufacturing company in which visual aspects play an important role to enhance the customer satisfaction. Therefore, Quality Function Deployment (QFD) can be considered as an effective tool for translating the customer’s voice into the design of the product and its specifications. The Kano model helps to identify the desires of a product that brings greater satisfaction or dissatisfaction level to the customer. Kano model tells the connection between the product’s attributes and its satisfaction to the customer. For achieving better results, Fuzzy Kano model has been more favorably applied over traditional Kano model. In this work, an approach of Integration of Kano model into QFD has been applied with an aim to examine the customer satisfaction based on aesthetic sentiments. A Sport Utility Vehicle has been selected for the study. The aesthetic attributes have been selected with the help of QFD and their importance and classification have been calculated using both Fuzzy Kano and Traditional Kano model. The result of Fuzzy Kano and Traditional Kano model has also been compared to calculate the effectiveness of the applied approach.

Suggested Citation

  • Shwetank Avikal & Rohit Singh & Rashmi Rashmi, 2020. "QFD and Fuzzy Kano model based approach for classification of aesthetic attributes of SUV car profile," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 271-284, February.
    • Handle: RePEc:spr:joinma:v:31:y:2020:i:2:d:10.1007_s10845-018-1444-5
    DOI: 10.1007/s10845-018-1444-5
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    References listed on IDEAS

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    1. Lai, Hsin-Hsi & Lin, Yang-Cheng & Yeh, Chung-Hsing & Wei, Chien-Hung, 2006. "User-oriented design for the optimal combination on product design," International Journal of Production Economics, Elsevier, vol. 100(2), pages 253-267, April.
    2. Lam, Jasmine Siu Lee & Bai, Xiwen, 2016. "A quality function deployment approach to improve maritime supply chain resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 16-27.
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    Cited by:

    1. Lee, Ching-Hung & Li, Li & Li, Fan & Chen, Chun-Hsien, 2022. "Requirement-driven evolution and strategy-enabled service design for new customized quick-response product order fulfillment process," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Hamid Reza Fazeli & Qingjin Peng, 2023. "Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1003-1020, March.
    3. 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.
    4. Wei Zhou & Chao Ke, 2022. "A Mass-Customization-Based Remanufacturing Scheme Design Method for Used Products," Sustainability, MDPI, vol. 14(16), pages 1-22, August.

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