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Integration of real-time locating systems into digital twins

  • Published:2020-12 Issue: Volume:20 Page:100174
  • ISSN:2452-414X
  • Container-title:Journal of Industrial Information Integration
  • language:en
  • Short-container-title:Journal of Industrial Information Integration

Author:

Ruppert Tamas,Abonyi Janos

Publisher

Elsevier BV

Subject

Information Systems and Management,Industrial and Manufacturing Engineering

Reference62 articles.

1. Cyber-physical production systems: roots, expectations and r&d challenges;Monostori;Procedia CIRP,2014

2. Enabling technologies for operator 4.0: a survey;Ruppert;Appl. Sci.,2018

3. Industrial applications of big data in disruptive innovations supporting environmental reporting;Hämäläinen;J. Ind. Inf. Integr.,2019

4. Decision support solutions for factory and network logistics operations;Ilie-Zudor;Int. J. Comput. Integr. Manuf.,2017

5. A data-driven scheduling approach to smart manufacturing;Rossit;J. Ind. Inf. Integr.,2019

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1. Data-driven quasi-convex method for hit rate optimization of process product quality in digital twin;Journal of Industrial Information Integration;2024-09

2. Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions;PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science;2024-08-06

3. A Simulation‐Based Study of a Digital Twin Model of the Air Purifier System in Chandigarh Using LabVIEW;Simulation Techniques of Digital Twin in Real‐Time Applications;2024-05-30

4. Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins;Journal of Medical Internet Research;2024-05-13

5. A systematic literature review on the application of process mining to Industry 4.0;Knowledge and Information Systems;2024-01-16
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