螺杆泵设备故障维修分析数据

统计螺杆泵故障设备维修记录数据，能直观反应出设备故障类型占比情况。所有使用螺杆泵设备的车间/企业，根据不同故障类型分布，均可优化各驻点维修人员配置和预购配件的库存量，提高维修效率，降低运营成本。另外所有使用螺杆泵设备的车间/企业也方便以后提升对螺杆泵故障设备的维修能力。本数据来源于本企业各部门螺杆泵的设备故障维修记录，将各天数数据进行整合，并运用数据透视表选择故障设备类别字段进行计数，把故障类型进行分类统计，全月故障总次数为各故障类型之和，按照各类型故障占比率=该类故障数/故障总数*100%，进行图表统计分析，利用饼图体现占比情况。所有使用螺杆泵设备的车间/企业，根据不同故障类型分布，优化各驻点维修人员配置和预购配件的库存量，提高维修效率，降低运营成本。所有使用螺杆泵设备的车间/企业也可以组织员工开展相关设备培训。

This dataset is compiled from maintenance records of faulty screw pump equipment, which intuitively reflects the proportion distribution of different equipment fault types. All workshops and enterprises using screw pump equipment can optimize the allocation of on-site maintenance personnel and the inventory of pre-purchased spare parts based on the distribution of different fault types, thereby improving maintenance efficiency and reducing operating costs. Additionally, this dataset helps such entities enhance their maintenance capabilities for faulty screw pump equipment in the future.

This dataset is derived from equipment fault maintenance records of screw pumps across various departments of our enterprise. We integrate daily data, use pivot tables to select the fault equipment category field for counting, and conduct classified statistics on fault types. The total monthly fault occurrences are the sum of the counts of each fault type. Statistical chart analysis is performed using the formula: fault proportion of each type = (number of faults of this type / total number of faults) * 100%, and a pie chart is utilized to visualize the proportion distribution.

All workshops and enterprises using screw pump equipment can also optimize on-site maintenance staffing and pre-purchased spare parts inventory based on fault type distribution to improve maintenance efficiency and cut operating costs. Moreover, they can organize employee training sessions related to screw pump equipment maintenance.

搜集汇总

数据集介绍

特点

该数据集包含3970条螺杆泵设备故障维修记录，每月更新，涵盖多种故障类型及其占比率。数据可用于优化维修人员配置和配件库存，提高维修效率，降低运营成本。