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The "Performance Manager" is a package system that collects and visualizes information from the manufacturing site in real-time, supporting the realization of appropriate management based on data. Additionally, it allows for the acquisition of production performance data and analog information related to the production process, such as temperature, without replacing existing equipment with new IoT-compatible devices or modifying existing machinery. 【Features】 ■ Accurate understanding of production progress through various data collection ■ Realization of IoT through integration with production equipment and devices ■ Achieving a non-stop factory through equipment maintenance ■ Real-time integration with ERP and production management systems *For more details, please request documentation or view the PDF data available for download.

We would like to introduce a case where Nihon Handa Co., Ltd., which manufactures and sells solder paste and molded solder essential for device manufacturing, has implemented the IoT achievement collection system "Achievement Leader." At the company, production status for the day was input with a time lag during evening overtime or the following day's work. After implementation, for example, regarding setup, production start, occurrence of troubles, and resumption of production after troubles were resolved, all detailed information linked to time could be visualized as numerical data. 【Implemented System】 ■ IoT Achievement Collection System "Achievement Leader" ■ Repetitive and Mass Production Management System "Production Innovation Ryu-jin SMILE V 2nd Edition" *For more details, please refer to the related links or feel free to contact us.

As the digitalization of the manufacturing industry progresses, more companies are working on data collection using systems and IoT. However, simply collecting data is not enough to achieve DX in manufacturing; it is crucial to analyze the data and effectively apply the insights gained to actual business operations. In this article, we will introduce key points for implementing data analysis that leads to DX in manufacturing, as well as examples of data analysis utilizing AI. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*