Abstract
In the future smart manufacturing, both of sensor-based environment in shop floors and cloud-based environment among more and more enterprises are deployed gradually. Various distributed and separated manufacturing facilities are as collaborative cloud services, integrated and aggregated with their real-time information. It provides opportunities for the distributed and collaborative manufacturing operations across lots of distributed but networked enterprises on demand with enough flexibility. To this end, the scheduling problem and its result of those collaborative services for distributed manufacturing operations play an important role in improving manufacturing utilization and efficiency. In this paper, we put forward the hypernetwork-based models introducing the thought of graph coloring and an artificial bee colony algorithm based method for this scheduling problem. Three groups of experiments are carried out respectively to discuss therein different situations of distributed and collaborative manufacturing operations, i.e., in a private cloud, in a public cloud, and in a hybrid cloud. Some future studies with further consideration of collaboration equilibrium, dynamic control and data-based intelligence, are finally pointed out in the conclusion.
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Acknowledgements
This work is partly supported by National Natural Science Foundation of China (Grants 51475032 and 51705014), and Hong Kong Scholar Program (Project Nos. XJ2016004 and G-YZ0K in The Hong Kong Polytechnic University).
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Cheng, Y., Bi, L., Tao, F. et al. Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing. J Intell Manuf 31, 1707–1720 (2020). https://doi.org/10.1007/s10845-018-1417-8
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DOI: https://doi.org/10.1007/s10845-018-1417-8