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A Spatiotemporal Mereotopology-Based Theory for Qualitative Description in Assembly Design and Sequence Planning

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Design Computing and Cognition '14

Abstract

This paper presents a novel qualitative theory in the context of assembly-oriented design, which integrates assembly sequence planning in the early product design stages. Based on a brief literature review of current assembly design approaches and mereotopology-based theories, the authors propose to go beyond by defining their own mereotopological theory, therefore enabling the qualitative description of product-process information and knowledge. The proposed mereotopological theory provides a strong basis for describing spatial entities (product parts) changes over time and space by considering a region-based theory linking spatial, temporal and spatiotemporal dimensions. The main objective of such an approach is to provide a product design description by proactively considering its assembly sequence as early as possible in the product development so as to ensure information and knowledge consistency with preliminary information and later introduce a spatiotemporal reasoning layer.

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Author information

Authors and Affiliations

  1. Université de Technologie de Belfort-Montbéliard, Montbéliard, France

    Elise Gruhier, Frédéric Demoly, Said Abboudi & Samuel Gomes

Authors
  1. Elise Gruhier
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  2. Frédéric Demoly
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  3. Said Abboudi
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  4. Samuel Gomes
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Corresponding author

Correspondence to Frédéric Demoly .

Editor information

Editors and Affiliations

  1. Department of Computer Science and School of Architecture, University of North Carolina, Charlotte, North Carolina, USA

    John S. Gero

  2. University College London, Bartlett School of Architecture, London, United Kingdom

    Sean Hanna

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Gruhier, E., Demoly, F., Abboudi, S., Gomes, S. (2015). A Spatiotemporal Mereotopology-Based Theory for Qualitative Description in Assembly Design and Sequence Planning. In: Gero, J., Hanna, S. (eds) Design Computing and Cognition '14. Springer, Cham. https://doi.org/10.1007/978-3-319-14956-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-14956-1_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14955-4

  • Online ISBN: 978-3-319-14956-1

  • eBook Packages: EngineeringEngineering (R0)

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