In today’s dramatically changing business environment, the impact of sudden equipment downtime on corporate prots is enormous, and an increasing number of businesses are implementing planned equipment maintenance with the aim of achieving non-stop factories.
Meanwhile, the manufacturing industry faces another major issue of passing down the expertise of highly experienced employees.
What is Total Maintenance Solutions?
Total Maintenance Solutions comprise of “Predictive Maintenance”, which prevents problems before they arise by detecting signs of abnormalities based on data collected, “Preventive Maintenance”, which enables planned maintenance by managing data regarding operating times and frequencies, as well as “Corrective Maintenance”, which shortens the time spent on cause investigation and ensures the early recovery of equipment by utilizing historical data. These are solutions that support our customers’ maintenance activities in all phases and scales, whether it be lines, devices, or equipment.
Cases
Case 01
Predictive Maintenance
Device level
Collecting data from the old type of Mitsubishi Electric PLC or other vendor's PLC
Case 01
Predictive Maintenance
Device level
Collecting data from the old type of Mitsubishi Electric PLC or other vendor's PLC
Case 01
Predictive Maintenance
Device level
Collecting data from the old type of Mitsubishi Electric PLC or other vendor's PLC
Case 01
Predictive Maintenance
Device level
Collecting data from the old type of Mitsubishi Electric PLC or other vendor's PLC
Case 01
Predictive Maintenance
Device level
Collecting data from the old type of Mitsubishi Electric PLC or other vendor's PLC
Case 01
Predictive Maintenance
Device level
Collecting data from the old type of Mitsubishi Electric PLC or other vendor's PLC
Case 07
Predictive Maintenance
Device level
Checking the status of equipment on the shop floor from an office or a remote location
Case 08
Visualization
Analysis
Analyzing the cause to resolve the recurring error permanently
Case 09
Visualization
Analysis
Diagnosis
Analyzing energy savings from power consumption and production volume
Case 10
Visualization
Analysis
Diagnosis
Performing analysis and diagnosis with a PLC
Case 11
Analysis
Diagnosis
Using AI to create learning models for quality improvement and predictive maintenance
Case 12
Analysis
Diagnosis
Eliminating the performance gap between experts and inexperienced workers
Case 13
Diagnosis
Conducting predictive maintenance on equipment by diagnosing vibration data