Factory Automation

Solutions

Data Collection/Analysis

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

Case04 Collecting data from the equipment and devices made by various manufacturers

Data collection

Issues

Solution

Install the industrial computer MELIPC to an existing system to enable the collection of data from various equipment and extend data utilization capabilities.

Product Lineup

Cases

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

    Collecting data from the equipment and devices made by various manufacturers

  • Case 05

    Visualization

    Data collection

    Using the collected data in reports

  • Case 06

    Visualization

    Visualizing logging data easily

  • Case 07

    Visualization

    Checking the collected data at the shop floor

  • Case 08

    Visualization

    Checking the status of equipment on the shop floor from an office or a remote location

  • Case 09

    analysis

    Visualization

    Analyzing the cause to resolve the recurring error permanently

  • Case 10

    analysis

    Visualization

    Visualizing and analyzing a wide variety of machine tools made by different manufacturers

  • Case 11

    Diagnosis

    analysis

    Visualization

    Analyzing energy savings from power consumption and production volume

  • Case 12

    Diagnosis

    analysis

    Visualization

    Performing analysis and diagnosis with a PLC

  • Case 13

    Diagnosis

    analysis

    Using AI to create learning models for quality improvement and predictive maintenance

  • Case 14

    Diagnosis

    analysis

    Eliminating the performance gap between experts and inexperienced workers

  • Case 15

    Diagnosis

    Conducting predictive maintenance on equipment by diagnosing vibration data

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