As innovation becomes important and complex, researchers started to explore innovation process under the background of Big Data. Technology Delivery System (TDS), a systematic method dynamically showing innovation process, has caused the extensive concern worldwide. As an essential step to construct TDS better, this study aims to identify main delivery actors in TDS based on multi-data sources, then analyze the delivery relationships between actors and evaluate various actors’ delivery capacity. We hope to improve current technology management and opportunity identification for complex innovations. Firstly, we divide TDS into four phases and apply different matched data sources to identify actors in corresponding phases. Secondly, we try to find technology relationships between actors. Finally, we conduct three indicators to calculate delivery capacity of main actors. With the development of intelligent manufacturing, we choose its new mode, Cloud Manufacturing in China, as a case to verify the feasibility of the approach.
Author(s): Ying Guo, Ganlu Sun, Ying Huang, Yun Fu, Yue Qian
Organization(s): Beijing Institute of Technology
Source: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)