Quickly aggregate information from the manufacturing site and visualize it in real-time.
Motion Board meets various data utilization needs in manufacturing sites. By centralizing data that was previously managed separately for each system and analyzing it from multiple perspectives, you can gain new insights that you may not have noticed before. ■Are you facing these challenges? - Delayed understanding of site conditions, making it difficult to quickly notice problems - Manually entering handwritten daily reports into Excel, which is time-consuming - The occurrence of defective products and low yield in the production area - Difficulty in quickly detecting equipment anomalies - Data management is fragmented across systems, making it hard to access necessary information promptly We will solve these issues in the production area. ◆Free trial available◆
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basic information
■Features - Excel data can be used as is - No specialized knowledge required; can be operated solely via GUI - Reports can be output in PDF format and other formats - Easily create boards with diverse expressive capabilities - Can easily handle large amounts of data generated daily
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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 one 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 towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.
