小型自动化立式注塑机运行效率数据

通过对小型自动化立式注塑机运行效率数据采集于数显压力开关，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。这些数据不仅用于计算设备的稼动率、加工合格率、性能效率和OEE（设备综合效率），还为设备的稳定运行提供了重要支撑。基于小型自动化立式注塑机运行效率数据，企业可以优化数显压力开关的生产计划，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-400ZDZS（XYSF-039） 数据进行统计分析，了解日期、设备名称、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）/(开机时间 * 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。

Operating efficiency data of small automated vertical injection molding machines is collected using digital display pressure switches. Key operating parameters of the equipment are collected, including date, equipment name, model, operating duration, daily processed quantity, scrapped quantity, etc. This data is not only used to calculate equipment availability rate, processing pass rate, performance efficiency, and OEE (Overall Equipment Effectiveness), but also provides important support for the stable operation of the equipment. Based on the operating efficiency data of small automated vertical injection molding machines, enterprises can optimize the production plan of digital display pressure switches, improve production efficiency, and meanwhile feed valuable data back to equipment manufacturers to promote product improvement and performance enhancement. Peer manufacturers can compare indicators such as availability rate 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 in purchasing decisions. Downstream customers can use this to understand the production capacity and stability of suppliers. For example, high availability rate and OEE may indicate that the supplier has the capacity to meet large order demands.

1. Data Collection: Conduct statistical analysis on the data of the injection molding machine XRT-400ZDZS (XYSF-039) to obtain operating data such as date, equipment name, equipment model, operating duration, daily processed quantity, and scrapped quantity.

2. Data Processing: Calculations via algorithms show that:
Availability Rate = (Operating Duration / Startup Time) * 100;
Processing Pass Rate = ((Daily Processed Quantity - Scrapped Quantity) / Daily Processed Quantity) * 100;
Performance Efficiency = ((Total Daily Processed Quantity of the Equipment - Total Processed Quantity of the Previous Day) / (Startup Time * 3600 / Per-piece Processing Duration (units/second))) * 100;
OEE = Availability Rate * Processing Pass Rate * Performance Efficiency;
OEE Volatility (%) = ((Daily OEE - Previous Day's OEE) / Previous Day's OEE) * 100.

3. Data Application: OEE volatility is divided into five levels:
- "Excellent" when the volatility is ≥5%, indicating a significant improvement in equipment efficiency;
- "Good" when the volatility is between 0% and 5%, representing stable efficiency or a slight improvement;
- "Average" when the volatility is between -5% and 0%, indicating a slight decline in efficiency but still within an acceptable range;
- "Needs Improvement" when the volatility is between -10% and -5%, meaning a significant decline in efficiency requiring corrective actions;
- "Warning" when the volatility is below -10%, indicating potential serious issues that require immediate intervention.

搜集汇总

数据集介绍

特点

该数据集记录了小型自动化立式注塑机的运行效率数据，包含多个关键运行参数和效率指标，适用于制造业企业优化生产计划和评估设备表现。数据规模为534条，每年更新一次，应用场景广泛，包括生产效率提升和设备采购决策支持。