Virtual Reality in Discrete Event Simulation for Production–Assembly Processes
Source abstract
Abstract
The connection of simulation models with virtual reality (VR) technology is of great importance in implementing Industry 4.0 in industrial practice. The article deals with the use of virtual reality in discrete event simulation (DES) using the Tecnomatix Plant Simulation software to visualize, analyze and optimize the modelled production–assembly process. The importance of virtual reality is evident in the academic sphere in connection with interactive teaching and its use for industrial practice. The article presents a case study focused on creating a virtual environment and optimizing the production–assembly process in the TX Plant Simulation software environment. During the mentioned study, the analysis of production–assembly flows, the processing of input data into the simulation model, the creation of 3D elements for the needs of virtualization—which are not part of the TX Plant Simulation software library—and the visualization that simulates the real environment based on computational algorithms were carried out. Virtualization was solved using the Oculus Rift S Headset. The output is a generally applicable procedure for modelling and testing a virtual model with its verification on a case study.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Engineering Technology and Methodologies · Transport and Logistics Innovations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Mechanical Engineering, Department of Industrial and Digital Engineering, Technical University of Košice, Park Komenského 9, 042 00 Košice, Slovakia
References (29)
Show source-provided references
1. Learning in virtual reality: Effects on performance, emotion and engagement10.25304/rlt.v26.2140 ↗
2. Development of virtual reality support to factory layout planning10.1007/s12008-019-00538-x ↗
3. Réveillac, J.M. (2017). Modeling and Simulation of Logistics Flows 3: Discrete and Continuous Flows in 2D/3D, ISTE. [1st ed.].10.1002/9781119368588 ↗
4. The virtual reality value chain10.1016/j.bushor.2020.08.002 ↗
5. Tytarenko, I., Pavlenko, I., and Dreval, I. (2023). 3D Modeling of a Virtual Built Environment Using Digital Tools: Kilburun Fortress Case Study. Appl. Sci., 13.10.3390/app13031577 ↗
6. Straka, M. (2021). Design of a Computer-Aided Location Expert System Based on a Mathematical Approach. Mathematics, 9.10.3390/math9091052 ↗
7. Straka, M., Khouri, S., Besta, P., and Drevko, S. (2017, January 30). Development of comunter simulation and its use for the needs of logistics. Proceedings of the 7th Carpathian Logistics Congress (CLC), Liptovsky Jan, Slovakia.
8. Bindzar, P., Macuga, D., Brodny, J., Tutak, M., and Malindzakova, M. (2022). Use of Universal Simulation Software Tools for Optimization of Signal Plans at Urban Intersections. Sustainability, 14.10.3390/su14042079 ↗
9. Hrabovský, L., and Fries, J. (2021). Transport Performance of a Steeply Situated Belt Conveyor. Energies, 14.10.3390/en14237984 ↗
10. Using Technical Means and Logistics Principle Applications to Solve Ecological Water Course Accidents10.15244/pjoes/95183 ↗
11. Impact of enterprise information systems on selected key performance indicators in construction project management: An empirical study10.1007/s11276-019-02048-w ↗
12. Software system design for solution of effective material layout for the needs of production and logistics10.1007/s11276-020-02267-6 ↗
13. Measurement of intangibles and knowledge: An empirical evidence
14. Saniuk, S., Grabowska, S., and Straka, M. (2022). Identification of Social and Economic Expectations: Contextual Reasons for the Transformation Process of Industry 4.0 into the Industry 5.0 Concept. Sustainability, 14.10.3390/su14031391 ↗
15. Determinant Effects of Political and Economic Factors on Country Risk: An Evidence from the EU Countries10.14254/1800-5845/2020.16-1.3 ↗
16. (2023, February 01). More3DSTEREO, moreViz HMD VivePro NX, Plant Simulation, Process Simulate: VR Virtual Reality Plugin Tutorial. Available online: https://www.youtube.com/watch?v=gVjNFmhALxQ.
17. The Edddison Team (2023, February 01). Edddison for Tenomatix Plant Simulation Now Available. Siemens. Available online: https://blogs.sw.siemens.com/tecnomatix/edddison-for-tecnomatix-plant-simulation-now-available/.
18. A enhanced interaction framework based on VR, AR and MR in digital twin10.1016/j.procir.2019.04.103 ↗
19. Digital twin shop-floor: A new shop-floor paradigm towards smart manufacturing10.1109/ACCESS.2017.2756069 ↗
20. (2022, December 05). ARIS Community. Software AG. Available online: https://www.ariscommunity.com/.
21. Dynamic simulation tool for planning and optimisation of supply process10.2507/IJSIMM20-3-552 ↗
22. Gregor, M., Hodon, R., Grznar, P., and Mozol, S. (2022). Design of a System for Verification of Automatic Guided Vehicle Routes Using Computer Emulation. App. Sci., 12.10.3390/app12073397 ↗
23. Grznar, P., Krajcovic, M., Gola, A., Dulina, L., Furmannova, B., Mozol, S., Plinta, D., Burganova, N., Danilczuk, W., and Svitek, R. (2021). The Use of a Genetic Algorithm for Sorting Warehouse Optimisation. Processes, 9.10.3390/pr9071197 ↗
24. Using a discrete event simulation as an effective method applied in the production of recycled material
25. Simulation of the Use of the Material Handling Equipment in the Operation Process10.1515/eng-2020-0015 ↗
26. Illumination simulation of working environment during the testing of cutting materials durability10.1016/j.asej.2018.10.004 ↗
27. Bangsow, S. (2020). Tecnomatix Plant Simulation—Modeling and Programming by Means of Examples, Springer. [2nd ed.].10.1007/978-3-030-41544-0 ↗
28. Bangsow, S. (2012). Use Cases of Discrete Event Simulation, Appliance and Research, Springer. [1st ed.].10.1007/978-3-642-28777-0 ↗
29. The Application of Augmented Reality Technology in the Production Processes10.1007/978-3-319-97490-3_31 ↗