Intelligent Manufacturing with Digital Twin

Dietmar P.F. Moller, Hamid Vakilzadian, Weyan Hou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


The age of digital transformation will have a significant impact on industry and society. Designing, developing, and manufacturing products is more based on the influence of the fourth technological wave with its possibilities through digital transformation. The digital twin is commonly known as a key enabler for digital transformation at all scales - for large and small businesses, for organizations and individuals, globally and locally. The new challenges through digital transformation are seen as an opportunity to achieve higher levels of solutions to handle the different innovative technological methods with regard to quality in production in the manufacturing industry. Due to the complexity of intelligent manufacturing, an advanced and complex tool is required to (i) investigate, (ii) monitor, and (iii) simulate the intelligent manufacturing processes in real-time. The tool to achieve this goal is the digital twin, which works in parallel to sense, monitor, and control manufacturing devices and cyber-physical production systems across the manufacturing plant network infrastructure. The digital twin performs real-time optimization and evaluates the metrics of the execution of the intelligent manufacturing system. This paper introduces intelligent manufacturing and the digital twin as key enablers for the digital transformation in intelligent manufacturing.

Original languageEnglish (US)
Title of host publication2021 IEEE International Conference on Electro Information Technology, EIT 2021
PublisherIEEE Computer Society
Number of pages6
ISBN (Electronic)9781665418461
StatePublished - May 14 2021
Event2021 IEEE International Conference on Electro Information Technology, EIT 2021 - Mt. Pleasant, United States
Duration: May 14 2021May 15 2021

Publication series

NameIEEE International Conference on Electro Information Technology
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373


Conference2021 IEEE International Conference on Electro Information Technology, EIT 2021
Country/TerritoryUnited States
CityMt. Pleasant


  • Digital twins
  • Intelligent manufacturing

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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