粒子群优化
计算机科学
调度(生产过程)
数学优化
工作车间
作业车间调度
流水车间调度
工业工程
分布式计算
算法
工程类
数学
地铁列车时刻表
操作系统
作者
Chen Zhaoming,Jinsong Zou,Wei Wang
标识
DOI:10.1177/09544054221121921
摘要
To solve the problems of low efficiency and insufficient dynamic response of job shop scheduling in the discrete manufacturing process, a multi-objective flexible job shop scheduling model for digital twin and its solution method are proposed. Firstly, a digital twin scheduling model with physical entity, virtual model and production plan is constructed, and four factors are taken as optimization goals. Then, a hybrid particle swarm optimization method is designed to increase the refined optimization ability, and the obtained Pareto optimal solution set is analyzed by grey relational analysis to obtain a satisfactory solution which coincides with the actual production. Finally, a three-dimensional model which is completely mapped with the real job shop scheduling is built by Plant Simulation software. The scheduling process is simulated and optimized by combining with the production data of an enterprise, which verifies the feasibility and applicability of this method, and will effectively guide the production practice.
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