1. Overlay technology space map for analyzing design knowledge base of a technology domain: the case of hybrid electric vehicles
- Author
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Binyang Song, Giorgio Triulzi, Jeff Alstott, Jianxi Luo, and Bowen Yan
- Subjects
Structure (mathematical logic) ,0209 industrial biotechnology ,Computer science ,Mechanical Engineering ,Distributed computing ,0211 other engineering and technologies ,Technological evolution ,02 engineering and technology ,Base (topology) ,Design knowledge ,Industrial and Manufacturing Engineering ,Domain (software engineering) ,Set (abstract data type) ,020901 industrial engineering & automation ,Architecture ,Designtheory ,Engineering design process ,021106 design practice & management ,Civil and Structural Engineering - 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.
- Published
- 2019
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