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Evolution Process and Simulation of Advanced Equipment Manufacturing Innovation Network Based on Intelligent System
Jianbo Wang1,2, Xing Cao1,3
1Business School of Central South University, Changsha, China.
Big Data
|November 10, 2021
Summary
This study models the innovation network evolution in advanced equipment manufacturing. Simulation results reveal network characteristics, offering insights into industry innovation capabilities.
Area of Science:
- Manufacturing Engineering
- Network Science
- Innovation Studies
Background:
- The shift towards intelligent systems necessitates understanding advanced equipment manufacturing innovation.
- Industry innovation networks are crucial for capability development but are under-researched in this sector.
Purpose of the Study:
- To analyze the geometric characteristics of advanced equipment manufacturing innovation networks.
- To develop and simulate an evolution model for these networks based on the small-world network concept.
Main Methods:
- Analysis of basic geometric properties of innovation networks.
- Development of a small-world network-based evolution model.
- Simulation experiments to observe network dynamics.
Main Results:
- The innovation network evolution model demonstrated dynamic changes in clustering coefficient and average distance.
- These network metrics eventually stabilized, indicating a mature network structure.
- Key metrics at stabilization: clustering coefficient (0.484), average distance (1.854), and small-worldness (0.497).
Conclusions:
- The developed model effectively simulates the evolution of advanced equipment manufacturing innovation networks.
- The findings provide a quantitative understanding of network structure and its evolution.
- This research contributes to strategies for enhancing innovation capabilities in the advanced manufacturing sector.
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