TY - JOUR
T1 - Overlay technology space map for analyzing design knowledge base of a technology domain
T2 - the case of hybrid electric vehicles
AU - Song, Binyang
AU - Yan, Bowen
AU - Triulzi, Giorgio
AU - Alstott, Jeffrey
AU - Luo, Jianxi
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
KW - Data-driven design
KW - Design theory
KW - Hybrid electric vehicles
KW - Knowledge management
KW - Network analysis and visualization
KW - Technology evolution
UR - http://www.scopus.com/inward/record.url?scp=85062878009&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85062878009&origin=recordpage
U2 - 10.1007/s00163-019-00312-w
DO - 10.1007/s00163-019-00312-w
M3 - RGC 21 - Publication in refereed journal
SN - 0934-9839
VL - 30
SP - 405
EP - 423
JO - Research in Engineering Design
JF - Research in Engineering Design
IS - 3
ER -