A New Bottleneck Identification Method of Re-Entrant Manufacturing System Based on Complex Networks
Author:
Affiliation:
1. Shanghai Research Institute for Intelligent Autonomous System, Tongji University,Shanghai,P. R. China,201804
2. College of Electronics and Information Engineering, Tongji University,Shanghai,P. R. China,200092
Funder
National Natural Science Foundation of China
Shanghai Municipal Science and Technology, China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240817.pdf?arnumber=10240817
Reference18 articles.
1. Digital Twin Enhanced Dynamic Job-Shop Scheduling
2. A novel method to identify influential nodes in complex networks based on gravity centrality
3. Modelling deadlock in open restricted queueing networks
4. The Non-Permutation Flow-Shop scheduling problem: A literature review
5. EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity
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