小型号立式注塑机运行效率数据

通过对小型号立式注塑机运行效率数据采集于电气比例阀塑料部件的生产线，采集设备的关键运行参数，包括日期、名称、型号、运行时间、当日加工数和报废数量等。并计算设备的稼动率、加工合格率、性能效率和OEE（设备综合效率），为设备的稳定运行提供了重要支撑。基于小型号立式注塑机运行效率数据，企业可以优化电气比例阀塑料的生产计划，提高生产效率，同时将有价值的数据反馈给设备制造商，促进产品改进和性能提升。同行制造商可通过比较稼动率和OEE等指标，评估自身在行业中的位置，并决定是否需要改进生产流程或升级设备。潜在的设备购买者可利用这些数据作为参考，评估设备在实际生产环境中的表现，辅助采购决策。下游客户则可借此了解供应商的生产能力和稳定性，如高稼动率和OEE可能表明供应商有能力满足大量订单需求。1.数据采集：通过对 注塑机XRT-400PQ（XYSF-007） 数据进行统计分析，了解日期、设备编号、设备型号、运行时间、当日加工数、报废数量等运行数据。
2.数据处理：通过算法计算可知，稼动率=运行时长/开机时间 *100；合格率=（当日加工数-报废数量）/当日加工数 *100；性能效率=（当日设备加工总数量-上一日设备加工总数量）/(运行时间 * 3600 /单价加工总数时长（件/S））*100;OEE=稼动率*合格率*性能效率；OEE波动率（%）=(当日OEE-前一天OEE)/前一天OEE *100。
3、数据应用：OEE波动率分为五个等级：当波动率大于或等于5%时被视为"优秀"，表明设备效率显著提升；0%到5%之间为"良好"，代表效率保持稳定或有小幅提升；-5%到0%之间被归类为"一般"，表示效率略有下降但仍在可接受范围内；-10%到-5%之间被标记为"需改进"，意味着效率下降明显，需要采取措施；而低于-10%则被视为"警告"级别，表明可能存在严重问题，需要立即介入。

This dataset is collected from the production line of plastic components for electro-pneumatic proportional valves using small vertical injection molding machines. Key operating parameters of the equipment are collected, including date, equipment name, model, operating time, daily processed quantity, scrap quantity and other relevant metrics. Additionally, key performance indicators (KPIs) including equipment availability, processing pass rate, performance efficiency and Overall Equipment Effectiveness (OEE) are calculated, which provide critical support for the stable operation of the equipment.

Based on the operating efficiency data of small vertical injection molding machines, enterprises can optimize production plans for electro-pneumatic proportional valve plastic components, improve production efficiency, and feed valuable data back to equipment manufacturers to facilitate product improvement and performance enhancement. Peer manufacturers can compare indicators such as availability and OEE to assess their position in the industry and decide whether to improve production processes or upgrade equipment. Potential equipment buyers can use this data as a reference to evaluate the performance of the equipment in actual production environments and assist with purchasing decisions. Downstream customers can use this data to understand the production capacity and stability of suppliers; for example, high availability and OEE may indicate that the supplier has the capability to fulfill large-scale order demands.

1. Data Collection: Statistical analysis is conducted on data from the injection molding machine XRT-400PQ (XYSF-007) to obtain operating data including date, equipment ID, equipment model, operating time, daily processed quantity, scrap quantity and other related metrics.
2. Data Processing: The following KPIs are calculated via algorithms:
- Availability = (Operating Time / Startup Time) × 100
- Processing Pass Rate = [(Daily Processed Quantity - Scrap Quantity) / Daily Processed Quantity] × 100
- Performance Efficiency = [(Daily Total Processed Quantity - Previous Day Total Processed Quantity) / (Operating Time × 3600 / Unit Processing Speed (units/second))] × 100
- OEE = Availability × Processing Pass Rate × Performance Efficiency
- OEE Volatility (%) = [(Current Day OEE - Previous Day OEE) / Previous Day OEE] × 100
3. Data Application: OEE volatility is divided into five levels:
- "Excellent": when volatility ≥ 5%, indicating a significant improvement in equipment efficiency
- "Good": when volatility ranges from 0% to 5%, representing stable efficiency or a minor improvement
- "Average": when volatility ranges from -5% to 0%, indicating a slight efficiency decline but still within an acceptable range
- "Needs Improvement": when volatility ranges from -10% to -5%, meaning a notable efficiency drop requiring corrective measures
- "Warning": when volatility is below -10%, indicating potential serious issues that demand immediate intervention

搜集汇总

数据集介绍

特点

该数据集记录了小型号立式注塑机的运行效率数据，包含502条记录，每年更新一次。数据涵盖了设备运行时间、加工数量、报废数量等关键参数，并计算了稼动率、合格率、性能效率和OEE等指标，适用于生产优化、设备评估和采购决策等场景。