Academic Journal of Computing & Information Science, 2021, 4(2); doi: 10.25236/AJCIS.2021.040211.
Zehao Zhao1, Jindong Zhang1, 2, 3, *, Peiyuan Hu1, Guanwen Qiao1, Kaiyuan Li3
1College of Computer Science and Technology, Jilin University, Changchun, 130012
2Chongqing Research Institute, Jilin University, Chongqing, 400000, China
3College of Software, Jilin University, Changchun, 130012
The manufacturing execution system is mainly aimed at the management system of the production workshop and is a bridge between the control layer and the management. It has the function of optimizing and upgrading the production line. In this paper, we will briefly introduce the current situation of production scheduling, the function, execution principle and function of manufacturing execution system, and then introduce the hybrid genetic algorithm as the core scheduling algorithm of manufacturing execution system, the combination of simulated annealing algorithm and genetic algorithm, and their execution process, and evaluate the actual results. The system will use genetic algorithm and simulated annealing algorithm to select the optimal scheme in the randomly generated scheduling scheme, and select the optimal progeny individuals through continuous genetic iteration and annealing screening. The time complexity is reduced and the production efficiency of the production line is improved.
MES, manufacturing execution system, scheduling, simulated annealing algorithm, genetic algorithm, hybrid genetic algorithm
Zehao Zhao, Jindong Zhang, Peiyuan Hu, Guanwen Qiao, Kaiyuan Li. MES Scheduling System Based on Mixed Inheritance. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 2: 61-65. https://doi.org/10.25236/AJCIS.2021.040211.
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