Device Management (EAM).
Create a holographic image of the device around the whole life cycle of the device; From equipment point verification standards, plans, routes, personnel, and reports, the full digital process management of spot checks is realized; Planned maintenance is based on the analysis of the life coefficient of spare parts to improve the maintenance quality and spare parts utilization rate; AI algorithms are used to analyze the running status of equipment, quickly locate the cause of faults, and improve equipment maintenance efficiency.
First, "many equipment, difficult management, high cost, low efficiency".
Build a TPM digital management system, standardize equipment preventive maintenance systems and processes, reduce unplanned equipment downtime, and improve equipment operation and maintenance efficiency and utilization.
Second, the equipment portrait
Device lifecycle management.
Focusing on equipment history, basic files, equipment atlases, maintenance records, spot inspection records, maintenance records, early warning records, equipment OEE, equipment utilization rate, equipment CPK analysis, MTBF, MTBR, etc.
3. Equipment spot check
Build a digital inspection system.
Build a standardized spot check system, set standards, plans, and routes, automatically generate work orders and reminders, automatically generate spot check reports after completion, analyze abnormal indicators, support spot check supervision, and avoid work order omission.
Fourth, equipment maintenance
Create a planned maintenance system.
Based on the planned maintenance of equipment, the whole process digital system of maintenance standards, maintenance plans and maintenance work orders is realized. Through the Internet of Things data, the life monitoring of equipment spare parts can be realized, and the equipment operation and maintenance cost can be reduced.
FiveEquipment repairs
Build an intelligent maintenance system.
Standardize the equipment failure operation process, manage the whole process from reporting, dispatching, ordering, completion, and acceptance, and integrate artificial intelligence technology to realize fault traceability, maintenance experience recommendation, and reduce unplanned downtime.
6. Spare parts
Build the whole process of equipment spare parts.
Realize the whole process management from spare parts procurement, warehousing, requisition, and inventory, support docking with ERP, support spare parts safety stock, spare parts life coefficient configuration, improve spare parts procurement decisions, and reduce equipment operation and maintenance costs.
7. Report Center
Comprehensive data analysis of equipment O&M.
Based on the TPM management system, the daily operation and maintenance analysis and statistics of equipment are realized, and the data is used to assist the efficiency of equipment operation and maintenance decision-making from personnel efficiency, equipment utilization, equipment abnormal causes, equipment stability analysis, etc.