The consumptive item supply support which is very important for military aircraft integrated logistic support is studied based on the multi-item joint replenishment. According to the aircraft support practice the stochastic joint replenishment model is expanded and a consumptive item stochastic joint replenishment model under resource restriction is established. With consideration of the limitation of stochastic joint replenishment iterative algorithm when processing the resource constraint problem the range of the basic cycle time multiple is modified. A new improved adaptive genetic algorithm is proposed based on the genetic population characteristics the individual characteristics and the population evolution phase. An example is simulated and analyzed based on some literatures.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Joint replenishment problem of military aircraft consumptive items under resource constraint


    Contributors:
    Jiying, Li (author) / Zhihong, Ji (author)


    Publication date :

    2017-07-01


    Size :

    315762 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Electric vehicle shortest path problem with replenishment constraint

    Baouche, Fouad / Trigui, Rochdi / Billot, Romain et al. | IEEE | 2014


    Resource replenishment system

    LIU SHI / YANG YI / HUANG ZHENG et al. | European Patent Office | 2024

    Free access

    RESOURCE REPLENISHMENT SYSTEM AND WORK VEHICLE

    FUKUNAGA TOMOFUMI / NISHI KEISHIRO / SHINKAI ATSUSHI et al. | European Patent Office | 2017

    Free access


    Resource replenishment system and work vehicle

    FUKUNAGA TOMOFUMI / NISHI KEISHIRO / SHINKAI ATSUSHI et al. | European Patent Office | 2021

    Free access