A Framework for Next Generation Interactive and Immersive DES Models

This paper explores the need for new visualisation modes to better enable interaction with increasingly complex and sophisticated Discrete Event Simulation (DES) models. In this research an initial framework for interactive and immersive DES models is put forward along with an extended framework, which takes account of the potential of streaming data from production line/shop floor sensor networks. The initial framework is illustrated by a test case involving the modelling of a maintenance and repair facility. A visualisation metaphor is provided as an illustration of an extended framework, and its potential operation as an interactive visualisation component within a Digital Twin for manufacturing.

[1]  B Korves,et al.  Designing an immersive virtual reality interface for layout planning , 2000 .

[2]  Wilhelm Dangelmaier,et al.  Virtual and augmented reality support for discrete manufacturing system simulation , 2005, Comput. Ind..

[3]  Roby Lynn,et al.  Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system , 2018, Journal of Manufacturing Systems.

[4]  Ashutosh Tiwari,et al.  A 3D Immersive Discrete Event Simulator for Enabling Prototyping of Factory Layouts , 2015 .

[5]  Ashutosh Tiwari,et al.  Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing , 2016, 2016 Winter Simulation Conference (WSC).

[6]  Roberto Revetria,et al.  Augmented and virtual reality applications in industrial systems: A qualitative review towards the industry 4.0 era , 2018 .

[7]  Matthew W. Rohrer Seeing is believing: the importance of visualization in manufacturing simulation , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[8]  Johan Stahre,et al.  TOWARDS AN OPERATOR 4.0 TYPOLOGY: A HUMAN-CENTRIC PERSPECTIVE ON THE FOURTH INDUSTRIAL REVOLUTION TECHNOLOGIES , 2016 .

[9]  Herwig Winkler,et al.  Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process , 2018 .

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

[11]  Yuzhong Shen,et al.  ACADEMIC/INDUSTRY EDUCATIONAL LAB FOR SIMULATION-BASED TEST & EVALUATION OF AUTONOMOUS VEHICLES , 2018, 2018 Winter Simulation Conference (WSC).

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

[13]  Ashutosh Tiwari,et al.  Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends , 2016, IEEE Transactions on Human-Machine Systems.

[14]  Meng Zhang,et al.  Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing , 2017, IEEE Access.

[15]  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 .

[16]  Eugenio Oñate,et al.  Interpretation of dam deformation and leakage with boosted regression trees , 2016 .

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

[18]  Günther Schuh,et al.  Towards a Data-oriented Optimization of Manufacturing Processes - A Real-Time Architecture for the Order Processing as a Basis for Data Analytics Methods , 2017, ICEIS.

[19]  Anna Syberfeldt,et al.  Support Systems on the Industrial Shop-floors of the Future – Operators’ Perspective on Augmented Reality☆ , 2016 .