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Automated manufacturing system discovery and digital twin generation

  • Published:2021-04 Issue: Volume:59 Page:51-66
  • ISSN:0278-6125
  • Container-title:Journal of Manufacturing Systems
  • language:en
  • Short-container-title:Journal of Manufacturing Systems

Author:

Lugaresi Giovanni,Matta Andrea

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference48 articles.

1. Review of digital twin about concepts, technologies, and industrial applications;Liu;J Manuf Syst,2020

2. Digital twin towards smart manufacturing and industry 4.0;Tao;J Manuf Syst,2020

3. New paradigm of data-driven smart customisation through digital twin;Wang;J Manuf Syst,2020

4. A review on simulation in digital twin for aerospace, manufacturing and robotics;Phanden;Mater Today Proc,2020

5. Real-time simulation in manufacturing systems: challenges and research directions;Lugaresi;2018 Winter simulation conference (WSC),2018

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4. Software for developing digital twins of agricultural machinery working bodies;Agricultural Machinery and Technologies;2024-06-25

5. Towards A GUI-Based Automated Model Generation Framework;Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation;2024-06-24
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