Digital twin in manufacturing: conceptual framework and case studies

Author:

Onaji Igiri1,Tiwari Divya1,Soulatiantork Payam1,Song Boyang1,Tiwari Ashutosh1

Affiliation:

1. Department of Control and Systems Engineering, The University of Sheffield, Sheffield, UK

Funder

Research Chairs and Senior Research Fellowships scheme

Made Smarter Innovation - Research Centre for Connected Factories

Petroleum Technology Development Fund (PTDF) of the Federal Republic of Nigeria

Future Electrical Machines Manufacturing Hub

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Reference70 articles.

1. ACSE. 2018. “Festo Cyber-physical Smart Factory Announcement.” Accessed 20 March 2019. https://www.sheffield.ac.uk/acse/news/festophysicallab-1.794362

2. Using digital twin for maintenance applications in manufacturing: State of the Art and Gap analysis

3. Bernard, A., and Z. Sandra. 2018. “Simulation and Virtual Reality: Virtual Sensor Opens a World of Efficiency for Large Motors | Digital Twin | Siemens Global.” Accessed 27 April 2021. https://new.siemens.com/global/en/company/stories/research-technologies/digitaltwin/virtual-sensor-opens-a-world-of-efficiency-for-large-motors.html

4. A digital twin for production planning based on cyber-physical systems: A Case Study for a Cyber-Physical System-Based Creation of a Digital Twin

5. Towards a Data-oriented Optimization of Manufacturing Processes - A Real-Time Architecture for the Order Processing as a Basis for Data Analytics Methods

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