Production modeling and cost estimation are among the main drivers in contemporary approaches to design aircraft and aircraft components. However, the existing methodologies presented in academia to evaluate these disciplines are not widely used in the industry because of (a) black-box behavior of the current production modeling systems, (b) lack of connection between the production modeling systems and the design process, (c) elevated cost and time needed to implement the methods, (d) confidentiality of production information, and (e) resistance to change the working methods. The research presented in this paper proposes methodology that aims to overcome These limitations by combining knowledge-based engineering with semantic web technologies in the modeling of aircraft production processes. The methodology is realized by a generic, flexible, adaptable and reusable framework for modeling production, which can evaluate the influence of different production concepts, to quantify the interactions between production processes. and aircraft design and to conduct studies of performance, and production costs.


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    Titel :

    Development of a Knowledge-Based Engineering Framework for Modeling Aircraft Production


    Beteiligte:

    Kongress:

    2019 ; Dallas, Texas, USA



    Erscheinungsdatum :

    2019-06-01



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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