MES系统对轴承套圈生产计划控制分析数据

轴承制造行业中，轴承套圈生产领域是对高精尖技术要求及其苛刻的领域，下游应用领域包括汽车制造、工程机械、高端农机、摩托车、家电、减速机等行业。在行业领域内引进MES系统，目的是通过在生产过程中的各种数据要素感知、采集和转化，实现需求和生产的精准对接，减少因信息不对称产生的产能浪费，最大化提升产能效率。而企业引进MES系统后，是否真正实现了该行业领域产能效率的提升，是该行业内众多企业共同的疑问，这需要通过对相应数据要素的分析计算去体现。本条数据分析解决的即是通过算法规则运算分析MES系统是否真正实现了该行业领域产能效率的提升的问题。提取的数据要素有：上报完工数(CRD)、计划开始时间(PST)、实际生产时长(PD)、计划结束时间(PET)、计划日产量(RPO)。1.算法规则：根据公式计算综合生产效率(CPE)= CRD/(RPO*(PET-PST))*100/(PD/(PET-PST))。实际生产时长按天数计算，不足1天的按1天计算。2.数据分析：若CPE>100,则状态为“生产超标”；若CPE=100,则状态为“生产达标”；若CPE<100，则根据上报完工数或实际生产时长，标记状态为“生产不达标”。3.根据状态分析结论：若状态为“生产超标”，则代表引进MES系统成功实现了产能效率提升；若状态为“生产达标”，则代表引进MES系统既没有提升产能效率、也没有降低产能效率；若状态为“生产不达标”，则代表引进MES系统反而降低了产能效率。

In the bearing manufacturing industry, the production of bearing rings is a field with extremely stringent requirements for high-precision and advanced technologies. Its downstream application scenarios include automotive manufacturing, construction machinery, high-end agricultural machinery, motorcycles, home appliances, reducers, and other industries. The purpose of introducing the Manufacturing Execution System (MES) in this industry is to achieve precise docking between market demand and production through the perception, collection, and transformation of various data elements in the production process, reduce production capacity waste caused by information asymmetry, and maximize production efficiency. However, whether the introduction of MES by enterprises has truly improved production efficiency in this industry is a common concern for numerous enterprises in this field, which needs to be verified through the analysis and calculation of corresponding data elements. This data analysis aims to solve the problem of whether MES has truly improved production efficiency in this industry through algorithmic rule-based operations and analysis. The extracted data elements include: reported completed quantity (CRD), planned start time (PST), actual production duration (PD), planned end time (PET), and planned daily output (RPO). 1. Algorithmic rules: Calculate the Comprehensive Production Efficiency (CPE) using the formula: CPE = [CRD / (RPO * (PET - PST)) * 100] / [PD / (PET - PST)]. The actual production duration is calculated in days, with any duration less than 1 day counted as 1 day. 2. Data analysis: If CPE > 100, the status is marked as "Overproduction"; if CPE = 100, the status is marked as "Production Up to Standard"; if CPE < 100, the status is marked as "Production Failing to Meet Standards" based on the reported completed quantity or actual production duration. 3. Status-based analysis conclusions: If the status is "Overproduction", it means the introduction of MES has successfully improved production efficiency; if the status is "Production Up to Standard", it means the introduction of MES has neither improved nor reduced production efficiency; if the status is "Production Failing to Meet Standards", it means the introduction of MES has actually reduced production efficiency.

搜集汇总

数据集介绍

特点

该数据集包含734条轴承套圈生产数据，用于评估MES系统在轴承制造行业中对产能效率的影响。通过算法规则计算综合生产效率(CPE)，并根据CPE值标记生产状态，以分析系统效果。