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Visualization Concept for Representing Capability Matchmaking Results in a Virtual Environment

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Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus (FAIM 2022)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

The traditional production system design and reconfiguration planning are manual processes. The lately developed capability matchmaking system aims to improve the production system design with a more intelligent design approach that automates the search for feasible resource combinations to specific product requirements. Virtual reality concepts and virtual manufacturing can bring more immersivity, perceptual intuition and interaction to the design process, and thus speed it up. 3D graphical visualizations of a production system and its resources can help in identifying problems in the reconfiguration of industrial equipment. The result from existing capability matchmaking system in XML format is not intuitive for the designer. Additionally, it is very difficult to analyze the proposed resources based on the textual description. To enhance the efficiency and performance of the existing capability matchmaking system, especially how to present and visualize the possible resource combinations inside the result is seen as an essential step towards virtual and smart manufacturing. This research provides an approach to visualize the result of capability matchmaking system in a virtual simulation environment with a use case example.

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Acknowledgments

This research has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101017141.

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Authors and Affiliations

  1. Tampere University, Tampere, Finland

    Rongwei Ma, Minna Lanz & Niko Siltala

Authors
  1. Rongwei Ma
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  2. Minna Lanz
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  3. Niko Siltala
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Corresponding author

Correspondence to Rongwei Ma .

Editor information

Editors and Affiliations

  1. Industrial and Systems Engineering, Wayne State University, Detroit, MI, USA

    Kyoung-Yun Kim

  2. Industrial and Systems Engineering, Wayne State University, Detroit, MI, USA

    Leslie Monplaisir

  3. Industrial and Systems Engineering, Wayne State University, Detroit, MI, USA

    Jeremy Rickli

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Ma, R., Lanz, M., Siltala, N. (2023). Visualization Concept for Representing Capability Matchmaking Results in a Virtual Environment. In: Kim, KY., Monplaisir, L., Rickli, J. (eds) Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus. FAIM 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-17629-6_63

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  • DOI: https://doi.org/10.1007/978-3-031-17629-6_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17628-9

  • Online ISBN: 978-3-031-17629-6

  • eBook Packages: EngineeringEngineering (R0)

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