Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing
Ying Cheng,
Luning Bi,
Fei Tao () and
Ping Ji
Additional contact information
Ying Cheng: Beihang University (BUAA)
Luning Bi: Beihang University (BUAA)
Fei Tao: Beihang University (BUAA)
Ping Ji: The Hong Kong Polytechnic University
Journal of Intelligent Manufacturing, 2020, vol. 31, issue 7, No 9, 1707-1720
Abstract:
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.
Keywords: Manufacturing service scheduling; Distributed collaboration; Smart manufacturing (SM); Complex networks; Graph coloring (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10845-018-1417-8
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