Combining point cloud technologies with discrete event simulation

Lindskog, Erik; Berglund, Jonatan; Vallhagen, Johan; Berlin, Rolf; Johansson, Björn

doi:10.1109/wsc.2012.6465210

Cited by 12 publications

(10 citation statements)

References 12 publications

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“…One of the major challenges in developing DES models that are immersive and expressive in a VR environment is the ability to collect enough data points to produce a realistic rendering of a subject. The work of Lindskog et al [55] investigates the use of 3-D laser scanning as a way of efficiently capturing a visualization of a manufacturing facility. Such point cloud models, produced by laser scanning, can add extra layers of detail to a DES model drawing in a wider non-DES audience to final rendered models [55].…”

Section: Designing and Developing Immersive Discrete Event Simulmentioning

confidence: 99%

Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends

Turner

Hutabarat

Oyekan

et al. 2016

IEEE Trans. Human-Mach. Syst.

163

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This paper reviews the area of combined discrete event simulation (DES) and virtual reality (VR) use within industry. While establishing a state of the art for progress in this area, this paper makes the case for VR DES as the vehicle of choice for complex data analysis through interactive simulation models, highlighting both its advantages and current limitations. This paper reviews active research topics such as VR and DES real-time integration, communication protocols, system design considerations, model validation, and applications of VR and DES. While summarizing future research directions for this technology combination, the case is made for smart factory adoption of VR DES as a new platform for scenario testing and decision making. It is put that in order for VR DES to fully meet the visualization requirements of both Industry 4.0 and Industrial Internet visions of digital manufacturing, further research is required in the areas of lower latency image processing, DES delivery as a service, gesture recognition for VR DES interaction, and linkage of DES to real-time data streams and Big Data sets.

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Section: Designing and Developing Immersive Discrete Event Simulmentioning

confidence: 99%

Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends

Turner

Hutabarat

Oyekan

et al. 2016

IEEE Trans. Human-Mach. Syst.

163

View full text Add to dashboard Cite

show abstract

“…But since then, many experiments using the technology in different areas have been made. Production floor layout modelling [3], visualization and problem solving in production [4] and connecting scanned models into a simulated environment [5] have been developed for the engineering field.…”

Section: Production Floor Scanningmentioning

confidence: 99%

Comparison of Methods for Modelling Production Floor Layout

Strapek¹,

Hořejší²,

Polcar³

2017

DAAAM Proceedings

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This paper deals with comparison of two methods for production floor layout design or reengineering -conventional capturing method and 3D laser scanning. Firstly there is an analysis of the current state, where possible uses of scanning technology for production floor design or reengineering are mentioned. Then the processes of both methods are shortly described. The main part of the article is comparison of these two method. For the comparison we have used data acquired during capture of the real factory hall with both methods. The comparison is based on determined criteria -time consumption, user and hardware requirements and quality of outputs. In the conclusion, the suitability of the methods is evaluated. It also shows time consumption differences between methods and difficulty and level of requirements. In the end there are recommendations for scanning method use and for the future work.

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“…Lindskog et al created the model as part of a visualization study [7] [8]. We used the model to explore alternative placements for the new machine in a meeting session with the production manager, machine operators, and the investment project leader.…”

Section: Examples Of Modeling In Various Phasesmentioning

confidence: 99%

8.3.1 Increasing the value of model‐assisted communication: Modeling for understanding, exploration and verification in production line design projects

Stalsberg

Müller

2014

INCOSE International Symp

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Abstract.Modeling and visualization is a common tool in the systems engineering process used to validate assumptions, increase understanding, synchronize views, and support decisions. The architect can apply models to support different purposes through all phases of a project.In this paper, we analyze model usage in production line improvement projects at GKN Aerospace Norway (GAN). We apply modeling in the understanding phase, exploration phase and verification phase of various projects. Our goal is to identify factors in the applied models that affect the models' success rate. Further, we explore how the importance of the identified factors varies in the different modeling phases. We also discuss how much effort the architect should invest in model creation.Among the impact factors we discuss are: a models ability to be instantly edited, visual attributes like how close to reality the model appears, a model's level of details and assumptions, and how personally relevant the model content is. Observations and feedback captured during this study indicate how the importance of each identified impact factor varies relative to the modeling phase. We also suggest that the resources spent on model creation should be in accordance with the intended value of the output from the model. By understanding how and when to use the impact factors discussed in this study, the architect will be better suited to make the proper design choices during model creation, and be able to provide more effective model-assisted communication.

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Combining point cloud technologies with discrete event simulation

Cited by 12 publications

References 12 publications

Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends

Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends

Comparison of Methods for Modelling Production Floor Layout

8.3.1 Increasing the value of model‐assisted communication: Modeling for understanding, exploration and verification in production line design projects

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