MITSUBISHI ELECTRIC SALES MALAYSIA SDN BHD

Solutions

Solutions

Total Maintenance

Automotive Manufacturing

Competencies

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