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Quality & Quantity

Erschienen in:

19.06.2021

Quality function deployment improvement: A bibliometric analysis and literature review

verfasst von: Jia Huang, Ling-Xiang Mao, Hu-Chen Liu, Min-shun Song

Erschienen in: Quality & Quantity | Ausgabe 3/2022

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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.

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Titel: Quality function deployment improvement: A bibliometric analysis and literature review
verfasst von: Jia Huang
Ling-Xiang Mao
Hu-Chen Liu
Min-shun Song
Publikationsdatum: 19.06.2021
Verlag: Springer Netherlands
Erschienen in: Quality & Quantity / Ausgabe 3/2022
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI: https://doi.org/10.1007/s11135-021-01179-7

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