物料加工工序工步工时数据集

1、数据采集：测量加工工艺基础加工时间，包括：标准人工时间、标准设备时间、人工准备时间；涉及的工艺为所有的工序类型，包括：平端面、夹紧检查、入库、清洗等，确定经济批量（最优加工数量），作为初设物料加工数据集；
2、数据处理：根据工艺实施情况确定初设物料加工数据集中每项工艺的状态，包括启用和停用；发生工艺的优化或变更时，启动对物料加工工序工步工时数据集更新；
3、数据应用：可用于生成自动排产及产能负荷瓶颈预测标准周期数据集。

1. Data Collection: Measure the basic processing time for machining processes, which includes standard labor time, standard machine time, and manual setup time. All process types are covered, such as face planing, clamping inspection, warehousing, cleaning, etc. The economic production quantity (EPQ, optimal processing quantity) is determined to form the initial material processing dataset.
2. Data Processing: Determine the enabled/disabled status of each process in the initial material processing dataset based on the actual implementation of the processes. When process optimization or changes occur, initiate the update of the working hour dataset for material processing process steps.
3. Data Application: This dataset can be used to generate standard cycle datasets for automatic production scheduling and capacity load bottleneck prediction.

搜集汇总

背景与挑战

背景概述

物料加工工序工步工时数据集由贵州航天电器股份有限公司自行产生，规模为563KB，适用于多品种批量的机加、注塑、钣金及电装车间，支持自动排产及产能负荷瓶颈预测模型的计算。数据集包含加工工艺基础加工时间的测量和工艺状态的确定与更新。