Digital Twin in manufacturing: A categorical literature review and classification

[1]  Luca Fumagalli,et al.  Flexible Automation and Intelligent Manufacturing , FAIM 2017 , 27-30 June 2017 , Modena , Italy A review of the roles of Digital Twin in CPS-based production systems , 2017 .

[2]  Fei Tao,et al.  Digital twin-driven product design, manufacturing and service with big data , 2017, The International Journal of Advanced Manufacturing Technology.

[3]  Xin Chen,et al.  A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line , 2017, IEEE Access.

[4]  A. M. M. Sharif Ullah,et al.  Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing , 2015, Journal of Intelligent Manufacturing.

[5]  Jumyung Um,et al.  Plug-and-Simulate within Modular Assembly Line enabled by Digital Twins and the use of AutomationML , 2017 .

[6]  Ján Vachálek,et al.  The digital twin of an industrial production line within the industry 4.0 concept , 2017, 2017 21st International Conference on Process Control (PC).

[7]  Salmiah Kasolang,et al.  The Study on Optimization of Streamlined Process Flow Based on Delmia Quest Simulation in an Automotive Production System , 2017 .

[8]  Jumyung Um,et al.  Development a Modular Factory with Modular Software Components , 2017 .

[9]  Yuan-Shin Lee,et al.  Streaming Machine Generated Data to Enable a Third-Party Ecosystem of Digital Manufacturing Apps☆ , 2017 .

[10]  Rainer Müller,et al.  Lean Information and Communication Tool to Connect Shop and Top Floor in Small and Medium-sized Enterprises , 2017 .

[11]  Yuan-Shin Lee,et al.  Sensor Data and Information Fusion to Construct Digital-twins Virtual Machine Tools for Cyber-physical Manufacturing , 2017 .

[12]  Rolf Steinhilper,et al.  The Digital Twin: Demonstrating the Potential of Real Time Data Acquisition in Production Systems ☆ , 2017 .

[13]  Vera Hummel,et al.  Digital Twin as Enabler for an Innovative Digital Shopfloor Management System in the ESB Logistics Learning Factory at Reutlingen - University , 2017 .

[14]  Stephan Simons,et al.  Learning in the AutFab – The Fully Automated Industrie 4.0 Learning Factory of the University of Applied Sciences Darmstadt , 2017 .

[15]  Bernd Kuhlenkötter,et al.  New Perspectives for Generating Smart PSS Solutions – Life Cycle, Methodologies and Transformation , 2017 .

[16]  Rolf Steinhilper,et al.  The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0☆ , 2017 .

[17]  Rikard Söderberg,et al.  Toward a Digital Twin for real-time geometry assurance in individualized production , 2017 .

[18]  Sandro Wartzack,et al.  Shaping the digital twin for design and production engineering , 2017 .

[19]  Rainer Stark,et al.  Innovations in digital modelling for next generation manufacturing system design , 2017 .

[20]  John Lindström,et al.  Towards Intelligent and Sustainable Production: Combining and Integrating Online Predictive Maintenance and Continuous Quality Control , 2017 .

[21]  Thomas Kuhn,et al.  Digitaler Zwilling , 2017, Informatik-Spektrum.

[22]  Michael W. Grieves,et al.  Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems , 2017 .

[23]  Michael Schluse,et al.  From simulation to experimentable digital twins: Simulation-based development and operation of complex technical systems , 2016, 2016 IEEE International Symposium on Systems Engineering (ISSE).

[24]  Detlef Zühlke,et al.  Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry , 2016 .

[25]  Botond Kádár,et al.  Simulation-based Production Planning and Execution Control for Reconfigurable Assembly Cells , 2016 .

[26]  Shun Yang,et al.  A Flexible Simulation Support for Production Planning and Control in Small and Medium Enterprises , 2016 .

[27]  Enzo Morosini Frazzon,et al.  Simulation-based optimization for the integrated scheduling of production and logistic systems , 2016 .

[28]  Sander Lass,et al.  Mastering Complexity with Autonomous Production Processes , 2016 .

[29]  Anas M. Atieh,et al.  Simulation Approach to Enhance Production Scheduling Procedures at a Pharmaceutical Company with Large Product Mix , 2016 .

[30]  Stefan Boschert,et al.  Digital Twin—The Simulation Aspect , 2016 .

[31]  Gian Antonio Susto,et al.  Machine Learning for Predictive Maintenance: A Multiple Classifier Approach , 2015, IEEE Transactions on Industrial Informatics.

[32]  Roland Rosen,et al.  About The Importance of Autonomy and Digital Twins for the Future of Manufacturing , 2015 .

[33]  A. Esmaili,et al.  Inclusion of Long-term Production Planning/Scheduling into Real-time Optimization , 2015 .

[34]  Tullio Tolio,et al.  A virtual factory approach for in situ simulation to support production and maintenance planning , 2015 .

[35]  W. Terkaja,et al.  A Virtual Factory Data Model as a support tool for the simulation of manufacturing systems , 2015 .

[36]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[37]  Armin Lechler,et al.  Autonomous Systems for Maintenance Tasks – Requirements and Design of a Control Architecture☆ , 2014 .

[38]  Jay Lee,et al.  Recent advances and trends in predictive manufacturing systems in big data environment , 2013 .

[39]  Jay Lee,et al.  Predictive Manufacturing System - Trends of Next-Generation Production Systems , 2013 .

[40]  Paolo Rosa,et al.  Life Cycle Simulation for the design of Product-Service Systems , 2012, Comput. Ind..

[41]  Edward H. Glaessgen,et al.  The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles , 2012 .

[42]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[43]  Friedemann Mattern,et al.  From the Internet of Computers to the Internet of Things , 2010, From Active Data Management to Event-Based Systems and More.

[44]  Dirk Pawlaszczyk.  Scalable Multi Agent Based Simulation – Considering Efficient Simulation of Transport Logistics Networks , 2006 .

[45]  Amund Tveit,et al.  Scalable Agent-Based Simulation of Players in Massively Multiplayer Online Games , 2003 .

[46]  N. F. Choong,et al.  Virtual factory: an integrated approach to manufacturing systems modeling , 2001 .

[47]  Philip J. Willis,et al.  A Virtual Factory , 1996, Int. J. Shape Model..