摘要
文章主要针对炼化企业机电仪设备的精细化检维修管理展开研究.通过对缺陷处理全过程的深入剖析,设计了一套基于数据链的缺陷处理管理方法.该方法包括流程再造、数据链管理和问题管理三大核心模块,实现了缺陷处理过程中各类信息的完整录入、汇总、分析及展示.这些过程数据不仅为设备精细化管理提供了坚实基石,更为企业数字化转型提供了全面、准确的数据支撑,也为保障装置的稳定、可靠和高效运行注入了强大动力.
Abstract
This article mainly focuses on the refined inspection and maintenance management of mechanical and electrical equipment in refining enterprises.Through in-depth analysis of the entire process of defect handling,a data chain based defect handling management method has been designed.This method includes three core modules:process reengineering,data chain management,and problem management,which achieve complete input,summary,analysis,and display of various information in the defect handling process.These process data not only provide a solid foundation for refined equipment management,but also provide comprehensive and accurate data support for enterprise digital transformation,and inject strong momentum into ensuring the stable,reliable,and efficient operation of the equipment.
维普
万方数据