Factory Automation

Products

MELSOFT MaiLab

    MELSOFT MaiLab usage examples

    Although automation of equipment is advancing, there are still many processes that rely on the intuition and experience of on-site workers.
    By digitizing such knowledge, skill succession, dealing with labor shortages, cost reduction, improved productivity and quality, etc. can be achieved.

    CASE 1

    Diagnose tool life that can’t be seen.

    Diagnosing tool life from data to reduce costs

    Use fully up to the end of its life.
    Improve equipment utilization ratio through optimum maintenance.

    Challenge

    Tool life that can’t be seen

    Tool life that can’t be seen

    Dies required for metal processing and machine tools are extremely expensive and their lives are affected by various factors.

    Tool life that can’t be seen

    AI-based
    analysis

    Find connections between diverse factors.

    Find connections between diverse factors

    MELSOFT MaiLab uses AI to diagnose signs of abnormalities that are difficult for the human eye to detect.

    Find connections between diverse factors

    AI-based
    solution

    Finding optimum replacement timing

    Finding optimum replacement timing

    Monitors for signs of abnormalities to issue a warning of replacement or maintenance timing before failure occurs.

    Finding optimum replacement timing

    Cost reduction

    Planned maintenance and
    reduced maintenance costs

    Planned maintenance and reduced maintenance costs

    Planned maintenance reduces the maintenance and operation costs of the entire factory and increases business competitiveness.

    Planned maintenance and reduced maintenance costs

    CASE 2

    Consistent quality on hot days and cold days

    Passing on knowhow of skilled workers

    Digitize the experience and intuition of skilled workers.
    Respond to labor shortages by automating equipment.

    Challenge

    Still relying on the experience and
    intuition of skilled workers

    Still relying on the experience and intuition of skilled workers

    In the food production industry, work has been done relying on the skills of skilled workers to maintain constant quality, but there are concerns about the future.

    Still relying on the experience and intuition of skilled workers

    AI learning

    Digitizing intuition and experience

    Digitizing intuition and experience

    By learning from a vast amount of data about the decisions made by skilled workers, MELSOFT MaiLab is now gradually absorbing the skills of skilled workers.

    Digitizing intuition and experience

    AI-based
    solution

    Passing on knowhow of skilled workers

    Passing on knowhow of skilled workers

    MELSOFT MaiLab helps younger workers make the same decisions as skilled workers by using AI.

    - Fermentation time and temperature control according to temperature and humidity
    - Instructions on appropriate timing of addition of materials
    - Inventory control according to shipment status

    Passing on knowhow of skilled workers

    Human resources
    development

    Your teacher, MELSOFT MaiLab

    Your teacher, MELSOFT MaiLab

    With a help of AI, beginners will gradually learn how to combine data that skilled workers have been doing, and someday they may surpass the skilled workers.

    Your teacher, MELSOFT MaiLab