To ensure development work breakdown comprehensive and thorough for large aircraft product, this paper put forward a WBS decomposition technique based on artificial neural network. On the basis of analysis of the neural network model and work breakdown structure (WBS), project control work breakdown structure (PCWBS), functional work breakdown structure (FWBS), relational work breakdown structure (RWBS), I set up a model which could get PCWBS, FWBS, RWBS and then get WBS according to the knowledge of the similar aircraft development WBS decomposition, so as to realize the automatic acquisition of WBS by input the general project attribute, which replaced the traditional state of depends on the personnel’s experience, and improve efficiency. Based on this, a prototype system is developed, and has been validated by a large aircraft WBS’s generation.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research of WBS Construction Technology for Large Aircraft Based on Artificial Neural Network


    Beteiligte:
    Wang, Kun-Fei (Autor:in) / Yan, Guang-Rong (Autor:in) / Wang, Wei (Autor:in)


    Erscheinungsdatum :

    2012


    Format / Umfang :

    7 Seiten




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch






    Aircraft Construction Technology

    A. L. Abibov / N. M. Biryukov | NTIS | 1972


    Neural network based aircraft control

    Furqan / Iqbal, Javaid / Malik, Akhtar Nawaz et al. | Tema Archiv | 2010


    The Research of Aircraft Landing Problems Based on Neural Network

    Chen, Ming Qiang ;Zhang, Guang Ming ;Feng, Jun Hong | Trans Tech Publications | 2013