Supply Chain Management

Support for the introduction of AI technology in the manufacturing and operation phases! It is very useful for quality control through data collection.

Our company is building and accumulating an AI data infrastructure in parallel with the development of IoT applications, providing solutions that can be applied to various predictions, predictive maintenance, and quality control in the supply chain using artificial intelligence. The application range of CAE technology has traditionally been limited to the basic design, detailed design, and planning/design phases of experiments. We will also support the introduction of AI technology in the subsequent manufacturing phase (production, shipping) and operational phase. This is very useful for shortening the time to identify the causes of equipment troubles, for early detection of failures, and for quality control through data collection after product shipment. [Features] ■ Support for the introduction of AI technology in the manufacturing phase (production, shipping) and operational phase ■ Very useful for shortening the time to identify the causes of equipment troubles, for early detection of failures, and for quality control through data collection after product shipment *For more details, please refer to the PDF materials or feel free to contact us.

IoT