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    An Adaptive Job Shop Scheduling Mechanism for Disturbances by Running Reinforcement Learning in Digital Twin Environment 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 005:;page 51013-1
    Author(s): Fang, Weiguang; Zhang, Hao; Qian, Weiwei; Guo, Yu; Li, Shaoxun; Liu, Zeqing; Liu, Chenning; Hong, Dongpao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Practical manufacturing system operates in highly dynamic and uncertain environments, where stochastic disturbances disrupt the execution of the production schedule as originally developed. Previous dynamic scheduling ...
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    DSpace software copyright © 2002-2015  DuraSpace
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