Can manufacturer Toyo Seikan has developed a data management system “to improve production efficiency” at its plants producing aluminum cans in Japan. This is a significant step forward for Toyo Seikan. Implementing a data management system can have many benefits, such as improving production efficiency, reducing waste and increasing product quality. By collecting and analyzing real-time production data, companies can quickly identify areas for improvement and make informed decisions.
In addition, Toyo Seikan has developed a data solution system called “SaTeras” to support the succession of expert skills and experience1. This system enables centralized management of manufacturing and production data, which helps to improve production efficiency1.
SaTeras enables real-time visualization and analysis by integrating and accumulating manufacturing-related information such as operating conditions and measured values of manufacturing equipment1. Furthermore, by connecting it to a machine learning platform, it enables digital utilization, which plays an indispensable role in the manufacturing industry in areas such as process defect prevention and quality control1.
In short, SaTeras collects and analyzes production data in real time, enabling Toyo Seikan to quickly identify areas for improvement and make informed decisions to optimize its production process.
Toyo Seikan Group Holdings, Ltd. has grown to become a world-class comprehensive packaging manufacturer through the delivery of a wide range of packaging containers that utilize features of various materials such as metal, plastic, paper and glass1.
With the long-term management vision 2050 ‘The Future, Wrapping for All’, the Toyo Seikan Group will go beyond its traditional field of packaging manufacturing to be a corporate group that creates new value and changes the world.
In addition, they have developed a data solution system called ‘SaTeras’ to support the succession of expert skills and experience. This system enables centralized management of manufacturing and production data, which helps to improve production efficiency.
