Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews
Despite the importance of data analytics, quality function deployment (QFD) development remains both qualitative and expert-driven. Although some studies have been conducted on data-driven QFD, most have relied solely on quantifying customer requirements, neglecting the quantification of engineering...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10849565/ |
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| author | Gamunnarbi Park Shinho Kim Youngjung Geum |
| author_facet | Gamunnarbi Park Shinho Kim Youngjung Geum |
| author_sort | Gamunnarbi Park |
| collection | DOAJ |
| description | Despite the importance of data analytics, quality function deployment (QFD) development remains both qualitative and expert-driven. Although some studies have been conducted on data-driven QFD, most have relied solely on quantifying customer requirements, neglecting the quantification of engineering characteristics from a data-driven approach. This study aims to develop a new approach to data-driven QFD using customer reviews and product manuals. Through an in-depth investigation of the product manual structure, this study suggests a systematic method for extracting engineering characteristics and interpreting data-driven QFD. The results are expected to provide practical guidelines for the QFD literature as well as product planning practice by suggesting a systematic framework for developing a data-driven approach and holistic approach. Furthermore, this study aims to ensure a more comprehensive understanding of customer needs and engineering capabilities, thereby enhancing the overall effectiveness of QFD in product development. |
| format | Article |
| id | doaj-art-eeb623ae9aef484ba01986eef261d126 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-eeb623ae9aef484ba01986eef261d1262025-02-07T00:01:39ZengIEEEIEEE Access2169-35362025-01-0113223802239410.1109/ACCESS.2025.353265810849565Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer ReviewsGamunnarbi Park0https://orcid.org/0009-0004-9103-9054Shinho Kim1Youngjung Geum2https://orcid.org/0000-0001-7346-2060Department of Data Science, Seoul National University of Science and Technology (SeoulTech), Seoul, South KoreaDepartment of Data Science, Seoul National University of Science and Technology (SeoulTech), Seoul, South KoreaDepartment of Data Science, Seoul National University of Science and Technology (SeoulTech), Seoul, South KoreaDespite the importance of data analytics, quality function deployment (QFD) development remains both qualitative and expert-driven. Although some studies have been conducted on data-driven QFD, most have relied solely on quantifying customer requirements, neglecting the quantification of engineering characteristics from a data-driven approach. This study aims to develop a new approach to data-driven QFD using customer reviews and product manuals. Through an in-depth investigation of the product manual structure, this study suggests a systematic method for extracting engineering characteristics and interpreting data-driven QFD. The results are expected to provide practical guidelines for the QFD literature as well as product planning practice by suggesting a systematic framework for developing a data-driven approach and holistic approach. Furthermore, this study aims to ensure a more comprehensive understanding of customer needs and engineering capabilities, thereby enhancing the overall effectiveness of QFD in product development.https://ieeexplore.ieee.org/document/10849565/QFDdata-driven QFDcustomer reviewengineering characteristicstopic modelco-occurrence analysis |
| spellingShingle | Gamunnarbi Park Shinho Kim Youngjung Geum Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews IEEE Access QFD data-driven QFD customer review engineering characteristics topic model co-occurrence analysis |
| title | Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews |
| title_full | Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews |
| title_fullStr | Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews |
| title_full_unstemmed | Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews |
| title_short | Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews |
| title_sort | developing data driven qfd a systemic approach to employing product manuals and customer reviews |
| topic | QFD data-driven QFD customer review engineering characteristics topic model co-occurrence analysis |
| url | https://ieeexplore.ieee.org/document/10849565/ |
| work_keys_str_mv | AT gamunnarbipark developingdatadrivenqfdasystemicapproachtoemployingproductmanualsandcustomerreviews AT shinhokim developingdatadrivenqfdasystemicapproachtoemployingproductmanualsandcustomerreviews AT youngjunggeum developingdatadrivenqfdasystemicapproachtoemployingproductmanualsandcustomerreviews |