Aiming at the complicated serial and parallel relationships of tasks in ship collaborative design and manufacturing, this paper first establishes a planning model for minimizing design time, and proposes a time-efficiency-relevance priority traversal task scheduling strategy (DERP). Second, it proposes the improved immune genetic algorithm solves the problem of task scheduling, reduces design man-hours, improves the efficiency of ship collaborative design and manufacturing, and reduces design costs. Finally, the effectiveness of the algorithm in this paper is verified by simulations on different scale ship design tasks. The results show that the improved algorithm can solve the design task scheduling problem very well.


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    Titel :

    Research on task scheduling method for ship-oriented collaborative design and manufacturing


    Beteiligte:
    Gao, Liangtian (Autor:in) / Yang, Yi (Autor:in) / Li, Jinghua (Autor:in) / Yin, Junkai (Autor:in) / Yang, Boxin (Autor:in)

    Kongress:

    International Conference on Mechanical Design and Simulation (MDS 2022) ; 2022 ; Wuhan,China


    Erschienen in:

    Proc. SPIE ; 12261


    Erscheinungsdatum :

    2022-09-20





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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