设备月保养完成率数据

设备月保养完成率指的是以操作工人为主，维修工人配合进行达到定期保养标准要求的比重。通过本算法得到的设备月保养完成率数据，再将数据与FineBi可视化工具相结合。业务部门可以在任何时刻通过车间、设备等多维度分析生产过程中设备月保养完成率情况。设备月保养完成率越高说明设备的性能和效率越优，可以明确哪台设备的月保养完成率低，从而采取对应措施来延长设备的使用寿命，间接性预防忙于应付抢修的被动局面。设备月保养完成率数据的算法规则包括以下几个方面：1、数据采集：通过端口进入，从而获取设备的信息数据，完成信息数据的采集。2、数据校验：通过对实际完成次数、月保养计划次数等基础数据进行比对和验证，以确保数据的一致性、准确性和完整性。3、数据处理：使用WebService的方式连接数据库，实现数据交互。关于日期、设备等字段通过唯一主键进行多表关联，搭建所需字段的SQL模型。按照公式：月保养完成率p=sum(n)/sum(w)*s；其中，w为月保养计划次数即为车间组长对月保养制定的计划次数；记第一条设备抓取次数记录数为A1，A2为第二条设备抓取次数记录数，设备抓取总次数为记为A，同理人工剔废次数记为B；实际完成次数n=Σ(（A1-B1) +（A2-B2) +...+（An-Bn) )=Σ（A-B）；s为实际完成次数与月保养计划次数占比单项式中的基础系数。最后通过BI工具，按日期、车间、设备等维度进行分类统计实现钻取功能，并利用双轴折线图体现每台设备月保养完成情况。

Monthly equipment maintenance completion rate refers to the proportion of regular maintenance tasks that meet the standard requirements, which is mainly completed by operators with the cooperation of maintenance workers. The monthly equipment maintenance completion rate data calculated by this algorithm can be combined with the FineBi visualization tool. Business departments can analyze the monthly equipment maintenance completion status in the production process at any time through multiple dimensions such as workshop and equipment. A higher monthly equipment maintenance completion rate indicates better equipment performance and efficiency. It allows identifying the equipment with low completion rate, so that corresponding measures can be taken to extend the service life of the equipment, and indirectly prevent the passive situation of being busy with emergency repairs. The algorithm rules for the monthly equipment maintenance completion rate data include the following aspects: 1. Data collection: Obtain equipment information data by accessing through ports to complete the collection of information data. 2. Data verification: Compare and verify basic data such as actual completion times and monthly maintenance plan times to ensure data consistency, accuracy and completeness. 3. Data processing: Connect to the database via WebService to realize data interaction. Perform multi-table association on fields such as date and equipment through unique primary keys, and build an SQL model for required fields. According to the formula: Monthly maintenance completion rate p = sum(n)/sum(w) * s; where w is the number of monthly maintenance plans, that is, the number of plans formulated by the workshop foreman for monthly maintenance; let the number of records of the first equipment capture count be A1, A2 be the number of records of the second equipment capture count, and the total number of equipment captures be denoted as A; similarly, the number of manual waste removal times is denoted as B; the actual completion times n = Σ((A1-B1) + (A2-B2) + ... + (An-Bn)) = Σ(A-B); s is the basic coefficient in the monomial of the proportion of actual completion times to monthly maintenance plan times. Finally, through the BI tool, classified statistics are performed according to dimensions such as date, workshop and equipment to realize the drill-down function, and the dual-axis line chart is used to reflect the monthly maintenance completion status of each piece of equipment.

搜集汇总

数据集介绍

特点

该数据集记录了设备月保养完成率的相关信息，数据来源于制造业企业，每月更新一次，包含9001条记录。数据集通过FineBi工具进行可视化分析，帮助企业优化设备保养策略，提升设备性能和效率。