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Towards Knowledge Driven Adaptive Product Representations

  • Conference paper
Advances in Soft Computing, Intelligent Robotics and Control

Part of the book series: Topics in Intelligent Engineering and Informatics ((TIEI,volume 8))

Abstract

Highly integrated engineering models are developed for lifecycle of industrial products towards increased self-development capabilities. Adaptive model has the capability to change itself in accordance with changed circumstances and events. Knowledge content in product model gives this capability for the modification of affected model entities as a result of changed parameters in the modeled product objects or the environment of the modeled product. This capability of the model is based among others on the well proven feature principle. According to this principle, product model is developed in the course of a series modification feature definitions. Modification by a feature is propagated through contextual connection chains of parameters of the modifying and modified features. Considering the recent development history of product modeling, product object feature driven models have been developed towards knowledge feature driven models where product object representations are generated and modified by active knowledge features. At the same time, lifecycle models of products are more and more interdisciplinary where product objects from mechanical, electrical, electronic, computer and other areas of engineering are included in a single model and handled by the same mechanism of modeling. However, interdisciplinary product model needs representations on higher abstraction levels than product object features. This chapter introduces some works and results from recent research activities contributing to the above sketched development history. It starts with scenario of current product modeling and the self-development capability of product models. Following this, the concept of product model affect zone and method to organize context definitions are proposed. The main contribution in the chapter includes introduction of different concepts for the abstraction levels in product model as well as abstraction levels and the related knowledge representations in the proposed coordinated request driven product model (CRPM). Finally, possible integration of the CRPM method into PLM systems is discussed.

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Authors and Affiliations

  1. John von Neumann Faculty of Infomatics, Institute of Applied Mathematics, Óbuda University, 1034, Budapest, Bécsi út 96/B, Hungary

    László Horváth

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  1. László Horváth
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Correspondence to László Horváth .

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Editors and Affiliations

  1. Institute of Applied Mathematics, Óbuda University, Budapest, Hungary

    János Fodor

  2. Department of Applied Mathematics, John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary

    Robert Fullér

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Horváth, L. (2014). Towards Knowledge Driven Adaptive Product Representations. In: Fodor, J., Fullér, R. (eds) Advances in Soft Computing, Intelligent Robotics and Control. Topics in Intelligent Engineering and Informatics, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-05945-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-05945-7_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05944-0

  • Online ISBN: 978-3-319-05945-7

  • eBook Packages: EngineeringEngineering (R0)

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