Data-driven design in concept development: systematic review and missed opportunities

• Post by: Tobias Larsson
• 12th November 2020
• 1 Comment

Abstract

The paper presents a systematic literature review investigating definitions, uses, and application of data-driven design in the concept development process. The analysis shows a predominance of the use of text mining techniques on social media and online reviews to identify customers’ needs, not exploiting the opportunity granted by the increased accessibility of IoT in cyber-physical systems. The paper argues that such a gap limits the potential of capturing tacit customers’ needs and highlights the need to proactively plan and design for a transition toward data-driven design.

Keywords

data-driven design, conceptual design, engineering design, data science, data mining

Citation

Bertoni, A. (2020). DATA-DRIVEN DESIGN IN CONCEPT DEVELOPMENT: SYSTEMATIC REVIEW AND MISSED OPPORTUNITIES. Proceedings of the Design Society: DESIGN Conference, 1, 101-110. doi:10.1017/dsd.2020.4

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http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20280

https://doi.org/10.1017/dsd.2020.4