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Quality function deployment improvement: A bibliometric analysis and literature review

Author

Listed:
  • Jia Huang

    (China Jiliang University)

  • Ling-Xiang Mao

    (Shanghai University
    Anhui Normal University)

  • Hu-Chen Liu

    (Tongji University)

  • Min-shun Song

    (China Jiliang University)

Abstract

Quality function deployment (QFD) is a customer-driven product development tool used to convert customer requirements into engineering characteristics to maximize customer satisfaction. In real applications, however, the traditional QFD method has been criticized as having lots of deficiencies. Over the past decades, many models and approaches have been suggested for improving QFD, but a paucity of contributions are devoted to review and summarize the related researches on the basis of bibliometric analysis. In this paper, we conduct a comprehensive bibliometric analysis of the journal articles on QFD improvement during the years of 1999–2020. First, the metadata analysis of identified articles was presented to clarify the research progress and development trend in this field. Then, bibliometric analyses of the selected articles are conducted to identify the most prolific and influential researchers, the most productive institutions and their collaborations, and the intellectual structure of studies in QFD development. Via keyword analysis, the research focuses and emerging research trends for QFD improvement are found out. Finally, blind spots and future research directions in the area are summarized to provide valuable reference for the future research of QFD advancement.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:qualqt:v:56:y:2022:i:3:d:10.1007_s11135-021-01179-7
    DOI: 10.1007/s11135-021-01179-7
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    References listed on IDEAS

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    1. Jian Zhou & Yujiao Jiang & Athanasios A. Pantelous & Weiwen Dai, 2023. "A systematic review of uncertainty theory with the use of scientometrical method," Fuzzy Optimization and Decision Making, Springer, vol. 22(3), pages 463-518, September.
    2. Prem Kumar Singh, 2023. "Research impact analysis of an institute using Scopus data and its hierarchical order visualization," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2859-2892, June.
    3. 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.
    4. Mario Fargnoli & Emilio Salvatori & Massimo Tronci, 2024. "A Green Marketing and Operations Management Decision-Making Approach Based on QFDE for Photovoltaic Systems," Sustainability, MDPI, vol. 16(14), pages 1-22, July.

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