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Control of Quality & Production

Category:relating to "Control of Quality & Production"

  • Paint System

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Taikisha is committed to improving paint finishing quality.

To offer high quality and highly efficient paint finishing, Taikisha focuses on improving paint finishing quality in all paint processes, by automating paint processes, controlling temperature and humidity inside the booth, maintaining uniform airflows, and ensuring a uniform temperature rise in the oven, while also proposing ways to reduce paint particles in preprocessing and electrodeposition lines.
Taikisha gathers and records information on the operating status of painting lines and systems (quality data and equipment operation data, etc.), and carries out predictive maintenance and factor analyses of quality defects using AI. As a result, Taikisha aims to achieve the smooth operation of painting lines, while maintaining high-quality painting.

i-Navistar

    i-Navistar has the following two main functions. Both functions use AI engines with learning functions to perform analytics.

  • Operations analytics system
    The system monitors the operating status of equipment required for production, as well as spare parts and consumables, predicts anomalies before they occur, and activates alarms.
  • Quality analytics system
    The system tracks time-series data on various paint quality inspection and conditions of paint finishing and paint materials in each booth, and visualizes the history of each painted item. In the event that a quality defect occurs, the system performs a defective cause analysis and proposes ways to optimize system conditions.


Conceptual Diagram (Click to enlarge)

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