FPT and Mishima Kosan join forces to build next-generation manufacturing with AI

FPT and Mishima Kosan have come to an understanding and signed a memorandum to collaboratively work on the next generation of manufacturing infrastructure by means of AI. They indicated this as the beginning of complete cooperation of the two firms. FPT Corporation, through FPT Software Japan, has agreed with Mishima Kosan to jointly develop and expand globally a next-generation manufacturing platform that uses AI, cloud, and robotics. The aim is to further develop and speed up the projects they have been working on together, called MK Solution Cloud and AI Mentor. They also want to increase the social value of using AI in manufacturing.

Japan’s production sector is confronted with a critical lack of manpower. It is predicted that by 2040 the deficiency will be nearly 11 million workers. In parallel, the use of AI technology is still not very widespread even in high-income nations. Companies still rely heavily on individual skills on-site. Control system development and human resource development are inefficient and slow. These are big barriers to innovation. FPT and Mishima Kosan want to change that. They aim to establish a new intelligent production infrastructure through AI, cloud, and robotics. Mishima Kosan brings deep knowledge of manufacturing sites. FPT brings advanced AI and cloud technology. Together, they aim to build sustainable industrial infrastructure and make manufacturing sites safer and smarter.

The collaboration will connect FPT’s AI infrastructure, called FPT AI Infrastructure, with Mishima Kosan’s cloud-based industrial platform, MK Solution Cloud. The idea is to link key digital tools. Using cloud technology makes it flexible and easy to access, without needing to set up local environments. The goal is a next-generation manufacturing system that can run many applications from one place. FPT AI Infrastructure will help build a global AI network. They will create a practical model for AI training and usage. This includes systematizing on-site knowledge, designing prompts, and developing learning flows. Using AI and collaborative cloud development, they will change how control systems are built. They want to reduce reliance on individual workers. This will make development assets more reusable and improve productivity and efficiency on-site.

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AI Mentor will standardize and make education more efficient and multilingual. It will create a new training model that moves away from traditional on-the-job training. The goal is to produce work-ready staff faster and raise the skills level across sites. This partnership should improve productivity, make control system and human resource development more standardized and efficient. By improving data environments, using a site-driven approach, and building a proper operational culture, they plan to expand globally and build their brand. They will focus on growing in manufacturing sites in Japan and overseas. They want to help create a sustainable industrial infrastructure and make manufacturing smarter everywhere.