Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing

Ying Cheng, Luning Bi, Fei Tao, Ping Ji

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalJournal of Intelligent Manufacturing
Publication statusAccepted/In press - 27 Mar 2018


  • Complex networks
  • Distributed collaboration
  • Graph coloring
  • Manufacturing service scheduling
  • Smart manufacturing (SM)

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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