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


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Elise Gruhier , Frédéric Demoly , Said Abboudi , Samuel Gomes

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. More... »

PAGES

57-77

References to SciGraph publications

  • 2001. Rough Sets in Spatio-temporal Data Mining in TEMPORAL, SPATIAL, AND SPATIO-TEMPORAL DATA MINING
  • 2013. Towards an Harmonious and Integrated Management Approach for Lifecycle Planning in ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS. COMPETITIVE MANUFACTURING FOR INNOVATIVE PRODUCTS AND SERVICES
  • 2009-03. Assembly process planning and its future in collaborative manufacturing: a review in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2002. Efficient Indexing of Spatiotemporal Objects in ADVANCES IN DATABASE TECHNOLOGY — EDBT 2002
  • Book

    TITLE

    Design Computing and Cognition '14

    ISBN

    978-3-319-14955-4
    978-3-319-14956-1

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-14956-1_4

    DOI

    http://dx.doi.org/10.1007/978-3-319-14956-1_4

    DIMENSIONS

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