The material procurement management of rail transit engineering projects has a certain degree of planning, but the process is extensive, the procurement cost is high, and the information sharing between the supply and demand sides is low, and the ability to adapt to random needs is insufficient. will affect the progress of the project. In order to enhance the adaptability of the Rail Transit Engineering Project Management Center (EPMC) to the random demand of project material procurement, taking into account the individual interests of the project department and the overall interests of the project management center, based on the JIT strategy, to improve the confidence of the order meeting the random demand as well as the full load rate of transport vehicles, a multi-objective optimization model is established, an adaptive genetic algorithm is designed, and a case study is carried out. The results show that: under the new management mode, the fitness function value of the processed final order, the confidence of meeting the random demand and the transport vehicle have increased by 0.066, 0.087, 0,131 respectively, and the average daily operating cost of the EPMC project departments was reduced by RMB 559,147 and the procurement cycle of engineering materials was shortened by 1 day.


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    Titel :

    Multi-objective optimization of material procurement management for rail transit engineering projects based on JIT strategy


    Beteiligte:
    Zhao, Yijun (Autor:in) / Wen, Qian (Autor:in)

    Kongress:

    Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022) ; 2022 ; Guangzhou,China


    Erschienen in:

    Proc. SPIE ; 12591


    Erscheinungsdatum :

    2023-02-16





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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