4.7 Article

Digital twin in smart manufacturing

出版社

ELSEVIER
DOI: 10.1016/j.jii.2021.100289

关键词

Digital twin; Smart manufacturing; Green performance evaluation; Complex networks; PROMETHEE II; Set pair analysis

资金

  1. National Natural Science Foundation of China [52165061]
  2. Ningxia Natural Science Foundation [2020AAC03202, NZ17111]
  3. Third Batch of Ningxia Youth Talents Supporting Program [TGJC2018048]
  4. University-enterprise Joint Project [2018HLZ07]

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Digital twin is a technology that creates a virtual model of a physical entity in a digital way, enabling interaction and integration between the physical and information worlds, and providing a reliable bridge for industrial information integration. With the advancement of digital twin, its application in smart manufacturing has become increasingly widespread. This paper proposes a quantitative green performance evaluation framework for smart manufacturing, driven by a digital twin-based industrial information integration system.
Digital twin creates the virtual model of physical entity in digital way, promotes the interaction and integration of physical world and information world, and builds a reliable bridge for industrial information integration. With the rapid evolution of digital twin, the application of digital twin has found an increasingly wide utilization in smart manufacturing. In view of the practical problems encountered by the current smart manufacturing enterprises, this paper aims to carry out quantitative green performance evaluation of smart manufacturing (GPEoSM) driven by digital twin-based industrial information integration system. Based on the mapping between entity and model of smart manufacturing projects, the integration of digital twin information and the interaction of GPEoSM approach, a GPEoSM framework is constructed. According to the framework, a green performance evaluation case for smart manufacturing project of an air conditioning enterprise is carried out. The result shows that the digital twin driven GPEoSM framework is effective and enhances the green performance evaluation of smart manufacturing.

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