Dynamic and unified modelling of sustainable manufacturing capability for industrial robots in cloud manufacturing

Yuanyuan Zhao, Quan Liu, Wenjun Xu*, Xingxing Wu, Xuemei Jiang, Zude Zhou, Duc Truong Pham

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)
271 Downloads (Pure)


Industrial robots (IRs) are the important driving force to enable the production activities more automotive and highly efficient in modern manufacturing systems. However, in order to realize the effective employment and intelligent configuration of IRs in cloud manufacturing environment, it is required that the sustainable manufacturing capabilities of IRs can be described in a unified and formal manner. In this paper, a unified sustainable manufacturing capability (SMC) of the IR model is constructed in terms of functional attributes, structural information, activities and process condition. A hybrid logic description method integrating Ontology Web Language with dynamic description logic (DLL) is adopted to provide a semantical representation to both the static and dynamic characteristics of SMC. An interval-state description method is proposed to present energy consumption during the IR’s process in sections. Based on the constructed model, three types of rules are defined to reason the capability of IRs, including stability, energy consumption and production capacity. Finally, a cloud-based prototype system architecture is illustrated. An IR service platform is developed and implemented to verify the proposed model and the defined rules.

Original languageEnglish
Pages (from-to)1-19
Number of pages19
JournalThe International Journal of Advanced Manufacturing Technology
Early online date7 Jul 2017
Publication statusE-pub ahead of print - 7 Jul 2017


  • Dynamic and unified modelling
  • Dynamic description logic
  • Industrial robots
  • Ontology
  • Sustainable manufacturing capability

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering


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