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针对云制造企业的剩余能力利用问题,研究具有空闲时间的车间调度方法.构建云制造作业车间的调度框架,以最小化工期为目标,考虑设备空闲时间,提出工序加工时间序列的确定方法和空闲时间段的更新策略,采用基于工件的精简编码和改进的二阶粒子群算法求解工件最优调度顺序.仿真结果验证了所提出调度方法的可行性.与已有算法的对比分析表明,改进算法具有良好的搜索性能.
Aiming at the utilization of residual capacity of cloud manufacturing enterprises, this paper studies the method of shop scheduling with idle time.Construct the scheduling framework of cloud manufacturing job shop to minimize the construction period, consider the idle time of equipment, The optimization strategy is proposed based on the simplified coding based on artifacts and the improved second-order particle swarm optimization algorithm.The simulation results verify the feasibility of the proposed scheduling method.Comparison with existing algorithms shows that the improved algorithm Has good search performance.