Joint Optimization of Production and Maintenance for Cost-effective Manufacturing and Demand Response Participation Dataset - Machine Breakdown Event

Using the previous dataset at an announcement of a machine breakdown event was simulated on Friday at 6:00, describing that machine MAQ119 could breakdown at any moment, detected using a predictive maintenance system. Accordingly, the proposed scheduler imposed a machine available frames constraint, during its event, of 0 usable frames, thus removing the machine from production. The proposed genetic algorithm was executed for 1 hour at period 769 (Friday at 7:00) until the remainder of the schedule’s time window. Also, the predefined optimization weights were 1 for total cost and 0 for machine occupancy deviation.

File Description:

Input_JSON_Machine_Breakdown_Optimization - JSON input data for the machine breakdown event

Output_JSON_Machine_Breakdown_Optimization - JSON output data for the machine breakdown event

Output_Statistics_Machine_Breakdown_Optimization - Excel output machine breakdown event statistics

基于前期数据集，于周五6:00模拟了一则机床故障事件公告：通过预测性维护系统（predictive maintenance system）监测到，编号为MAQ119的机床随时可能发生故障。据此，所提出的调度器在该故障事件存续期间设置了机床可用帧约束：可用帧数量为0，由此将该机床从生产序列中移除。所提出的遗传算法于时段769（周五7:00）启动，运行时长1小时，直至调度时间窗口的剩余时段结束。此外，预定义的优化权重设置为：总成本权重为1，机床占用偏差权重为0。

文件说明：
- Input_JSON_Machine_Breakdown_Optimization：机床故障事件优化用JSON输入数据集
- Output_JSON_Machine_Breakdown_Optimization：机床故障事件优化用JSON输出数据集
- Output_Statistics_Machine_Breakdown_Optimization：机床故障事件优化用Excel格式统计输出文件