污水泵设备故障维修分析数据

统计污水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。所有使用污水泵设备的车间/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。另外所有使用污水泵设备的车间/企业也有助于提升对污水泵故障设备的维修能力。本数据来源于本企业各部门污水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。所有使用污水泵设备的车间/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。所有使用污水泵设备的车间/企业也可以组织员工开展相关设备培训。

This dataset compiles maintenance records of faulty sewage pumps, which can intuitively reflect the proportion of each fault type of the equipment.

For all workshops and enterprises that use sewage pump equipment, based on the distribution of different fault types, they can optimize the allocation of on-site maintenance personnel and the inventory of pre-purchased spare parts, thereby improving maintenance efficiency and reducing operating costs. In addition, such entities can also enhance their maintenance capabilities for faulty sewage pumps.

This dataset is sourced from the equipment fault maintenance records of sewage pumps from various departments of our enterprise. Daily data is integrated, and a pivot table is used to select the fault equipment category field for counting, with fault types classified and counted. The total number of faults in a full month is the sum of the counts of each fault type. Statistical chart analysis is conducted using the formula for the proportion of each fault type: (number of faults of this type / total number of faults) * 100%, and a pie chart is employed to visualize the proportion distribution.

Once again, for all workshops and enterprises using sewage pump equipment, optimizing on-site maintenance staffing and pre-purchased spare parts inventory based on fault type distribution can improve maintenance efficiency and reduce operating costs. Additionally, these entities can organize employee training programs related to sewage pump equipment maintenance.

搜集汇总

数据集介绍

特点

该数据集包含3426条污水泵设备故障维修记录，每月更新，记录了不同故障类型的次数和占比，主要用于优化维修人员配置和配件库存，提高维修效率和降低运营成本。