Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 22380-22394 |
| Number of pages | 15 |
| Journal | IEEE Access |
| Volume | 13 |
| DOIs | |
| State | Published - 2025 |
Keywords
- QFD
- co-occurrence analysis
- customer review
- data-driven QFD
- engineering characteristics
- topic model
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