会议论文详细信息
2nd International Conference on Frontiers of Materials Synthesis and Processing
Study on Optimal Scheduling of RGV in Industrial Production
Yin, Penghui^1
School of North China Electric Power University, Baoding, China^1
关键词: Chaotic genetic algorithms;    Dynamic scheduling;    Efficiency and benefit;    Industrial production;    Integrated scheduling;    Production scheduling problems;    Production workshops;    Simulation model;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/493/1/012109/pdf
DOI  :  10.1088/1757-899X/493/1/012109
来源: IOP
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【 摘 要 】

In modern industrial production, a large number of production scheduling problems exist.We set up the actual integrated scheduling model of production workshop to analyze the actual scheduling problem of the factory.The optimal scheduling situation is obtained through the establishment of the "minimum time cost model" simulation, and the optimal scheduling is solved through the modification of the chaotic genetic algorithm to maximize the efficiency and benefit of production.In addition, the time required to complete the one-cycle process of RGV is solved by simulation and the time points of each step are listed. Finally, the optimal production scheduling scheme is given.

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