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String Diagrams for Assembly Planning

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Diagrammatic Representation and Inference (Diagrams 2020)

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Abstract

Assembly planning is a difficult problem for companies. Many disciplines such as design, planning, scheduling, and manufacturing execution need to be carefully engineered and coordinated to create successful product assembly plans. Recent research in the field of design for assembly has proposed new methodologies to design product structures in such a way that their assembly is easier. However, present assembly planning approaches lack the engineering tool support to capture all the constraints associated to assembly planning in a unified manner. This paper proposes CompositionalPlanning, a string diagram based framework for assembly planning. In the proposed framework, string diagrams and their compositional properties serve as the foundation for an engineering tool where CAD designs interact with planning and scheduling algorithms to automatically create high-quality assembly plans. These assembly plans are then executed in simulation to measure their performance and to visualize their key build characteristics. We demonstrate the versatility of this approach in the LEGO assembly domain. We developed two reference LEGO CAD models that are processed by CompositionalPlanning’s algorithmic pipeline. We compare sequential and parallel assembly plans in a Minecraft simulation and show that the time-to-build performance can be optimized by our algorithms.

All authors contributed equally to this work while at Siemens.

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Notes

  1. 1.

    CompositionalPlanning - https://github.com/CompositionalPlanning/.

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Author information

Authors and Affiliations

  1. University of California Riverside, Riverside, CA, 92507, USA

    Jade Master

  2. Stanford University, 450 Serra Mall, Stanford, CA, 94305, USA

    Evan Patterson

  3. Siemens Corporate Technology, 755 College Rd E, Princeton, NJ, 08540, USA

    Shahin Yousfi & Arquimedes Canedo

Authors
  1. Jade Master
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  2. Evan Patterson
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  3. Shahin Yousfi
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  4. Arquimedes Canedo
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Corresponding author

Correspondence to Arquimedes Canedo .

Editor information

Editors and Affiliations

  1. Tallinn University of Technology, Tallinn, Estonia

    Ahti-Veikko Pietarinen

  2. Edinburgh Napier University, Edinburgh, UK

    Peter Chapman

  3. University of Groningen, Groningen, The Netherlands

    Leonie Bosveld-de Smet

  4. Université de Lorraine, Nancy, France

    Valeria Giardino

  5. Columbia University, New York, NY, USA

    James Corter

  6. University of Liverpool, Liverpool, UK

    Sven Linker

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Master, J., Patterson, E., Yousfi, S., Canedo, A. (2020). String Diagrams for Assembly Planning. In: Pietarinen, AV., Chapman, P., Bosveld-de Smet, L., Giardino, V., Corter, J., Linker, S. (eds) Diagrammatic Representation and Inference. Diagrams 2020. Lecture Notes in Computer Science(), vol 12169. Springer, Cham. https://doi.org/10.1007/978-3-030-54249-8_14

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  • DOI: https://doi.org/10.1007/978-3-030-54249-8_14

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