MITSUBISHI ELECTRIC SALES MALAYSIA SDN BHD

Solutions

Solutions

Data Collection/Analysis

Automotive Manufacturing

Competencies

  • Carbon neutral
  • FA Remote
  • Data Collection/Analysis
  • Total Maintenance
  • IoT Solutions for Machining Lines
  • Process Control/Redundant
  • Sustainability
The Cycle for shop floor Improvement With Data Utilization
Improving productivity, quality, and energy efficiency by utilizing shop floor data to find the key to solving production issues and promoting improvements

Targets Setting

What is the issue? What is the current status? What needs to be solved?

POINTS

Clarify what issues should be solved.

Identify managerial issues

  • Productivity improvement
  • Quality improvement
  • Energy saving & conservation

Break down the issues

Break down each managerial issue into more specific shop floor issues for which solutions can be devised.

Application of data collection/analysis solutions

➊ Data collection

What kind of data should be collected and how?

POINTS

Select and collect data based on knowledge in equipment and production processes.

Factor analysis, data selection, and data collection

Select, collect, and accumulate the data necessary for solving the shop floor issues based on the engineer’s wealth of experience, intuition, and knowledge.

❷ Visualization

Visualization of collected data and confirmation of the effectiveness of improvements

POINTS

Quantify the current situation and gain awareness.

Data visualization

Display the collected data in an easily viewable format, to provide a visual indication of the status of the shop floor.

➌ Analysis

Factor analysis from collected data

POINTS

Find the factors necessary for improving the shop floor and solving issues.

Data analysis

Use the collected data to analyze problem-solving factors.

➍ Diagnosis

Data diagnosis based on the analysis results

POINTS

Evaluate the improvements made and issues solved and create a continuous cycle for improvements.

Improvements using a diagnostic system

Create diagnostic rules based on the analysis results, diagnose the collected data in real time, and provide the shop floor with feedback.
Cases

Case 01

Data collection

Collecting data from the old type of Mitsubishi Electric PLC or other vendor's PLC

Case 02

Data collection

Utilizing the data from the PLC with an IT system

Case 03

Data collection

Collecting highly precise data to improve the accuracy of analysis

Case 04

Data collection

Visualization

Using the collected data in reports

Case 05

Visualization

Visualizing logging data easily

Case 06

Visualization

Checking the collected data at the shop floor

Case 07

Visualization

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

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