自动排产及产能负荷瓶颈预测标准周期数据集

1、数据采集：根据企业管理要求，编制审核基本信息；根据工艺设计人员编制的加工工艺，生成工序信息和特征系数，匹配工序周期；根据设备使用情况获得工作状态、根据订单情况获取加工批量，根据现场测量确认工时信息；以上信息构成初始标准周期数据集；
2、数据处理：根据实际加工情况，对初始标准周期数据集进行复核和纠正，执行指定次数的纠正后，形成自动排产及产能负荷瓶颈预测标准周期数据集；发生工艺调整时，启动对自动排产及产能负荷瓶颈预测标准周期数据集的更新；
3、数据应用：可应用于自动排产及产能负荷瓶颈预测模型，作为预测完工时间的计算标准。

1. Data Collection: Compile and review basic information in accordance with enterprise management requirements; generate process information and feature coefficients based on the processing technology compiled by process designers, and match the corresponding process cycle; acquire equipment operating status via equipment usage data, obtain processing batch size based on order details, and confirm working hour information through on-site measurement; the aforementioned information forms the initial standard cycle dataset.
2. Data Processing: Review and correct the initial standard cycle dataset based on actual production processing conditions; after executing the correction for the specified number of times, develop the standard cycle dataset for automatic scheduling and production capacity load bottleneck prediction; when process adjustments are implemented, trigger the update of the standard cycle dataset for automatic scheduling and production capacity load bottleneck prediction.
3. Data Application: This dataset can be applied to automatic scheduling and production capacity load bottleneck prediction models, serving as the calculation benchmark for completion time forecasting.