Achieving real-time visualization of production schedule management and equipment monitoring.
MotionBoard meets various data utilization needs in food manufacturing sites. It allows for easy creation of visually appealing screens without programming. Users can accurately grasp the timing of tasks that were previously based on experience and intuition. ■ Implementing Companies Food manufacturers ■ Challenges - Want to visualize performance and operations on management boards - Desire to understand performance and operational status through easy-to-understand screens - Monthly creation leads to challenges in real-time capability and accuracy ■ Implementation Points - Capable of collecting, analyzing, and visualizing real-time data - MotionBoard allows for the creation of easy-to-understand graphs without programming - Utilized for a wide range of applications from production schedule management to integration with IoT systems ■ Effects - Achieved visualization of information requiring real-time capability - Enabled equipment maintenance tasks based on accurate data rather than intuition - Improved product quality through data utilization, such as detecting foreign substances in raw materials The time required for data analysis and visualization has been reduced to less than one-tenth, while ensuring real-time capability.
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basic information
■Features - No specialized knowledge required; can be operated solely through GUI - Capable of outputting reports in PDF format and others - Easily create boards with diverse expressive capabilities - Can easily handle large amounts of data generated daily - Start small and gradually expand the scope of application
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Applications/Examples of results
■ Management of production schedule ■ Management of temperature and humidity in the factory ■ Monitoring of production equipment operation ■ Quality control of raw materials ■ Visualization of business incidents, etc.
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Company information
Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into a system that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.