Overlay technology space map for analyzing design knowledge base of a technology domain: the case of hybrid electric vehicles

Binyang Song*, Bowen Yan, Giorgio Triulzi, Jeffrey Alstott, Jianxi Luo

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

20 Citations (Scopus)

Abstract

A tangible understanding of the latent design knowledge base of a technology domain, i.e., the set of technologies and related design knowledge used to solve the specific problems of a domain, and how it evolves, can guide engineering design efforts in that domain. However, methods for extracting, analyzing and understanding the structure and evolutionary trajectories of a domain’s accumulated design knowledge base are still underdeveloped. This study introduces a network-based methodology for visualizing and analyzing the structure and expansion trajectories of the design knowledge base of a given technology domain. The methodology is centered on overlaying the total technology space, represented as a network of all known technologies based on patent data, with the specific knowledge positions and estimated expansion paths of a specific domain as a subgraph of the total network. We demonstrate the methodology via a case study of hybrid electric vehicles. The methodology may help designers understand the technology evolution trajectories of their domain and suggest next design opportunities or directions. © 2019, Springer-Verlag London Ltd., part of Springer Nature.
Original languageEnglish
Pages (from-to)405-423
JournalResearch in Engineering Design
Volume30
Issue number3
Online published7 Mar 2019
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes

Research Keywords

  • Data-driven design
  • Design theory
  • Hybrid electric vehicles
  • Knowledge management
  • Network analysis and visualization
  • Technology evolution

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