Toyota and Hitachi to Collaborate to Build a High-Efficiency Production Model Using IoT Platform

By Shin Kai

Category:
Acquisition or Partnership

Toyota Motor Corporation and Hitachi, Ltd. announced that they will embark on a collaborative creation to build a high-efficiency production model using an IoT platform. These two companies will conduct verification at Toyota's model plants (Toyota, Aichi Prefecture) starting from this October. Through this verification, they intend to establish a platform using Hitachi's IoT platform "Lumada", which utilizes the latest digital technologies such as AI and big data analysis. Using this platform to solve various issues at manufacturing sites allows the PDCA cycle to be accelerated and new issues to be identified and solved from the viewpoint of total optimization, resulting in further improvement in quality and productivity.

Through this verification, a plant IoT platform using "Lumada" will be established in each of the model plants for vehicles and units. The platform mainly consists of a data acquisition and integration layer, a data accumulation layer, and a data utilization layer. The facilities, devices, and related systems at various manufacturing sites in the model plant will be connected to the platform so that data acquired from them can be consolidated and analyzed. This allows both companies to swiftly use IoT in various manufacturing processes for improvement actions and to share the improvement cases with other manufacturing processes, resulting in an accelerated PDCA cycle. In addition, by analyzing not only the data residing in a single process but also the data that extends across multiple processes, the overall plant can be visualized and new findings provided, which can lead to further improvement in production efficiency from the viewpoint of total optimization.

As a specific theme of this verification, Toyota and Hitachi plan to establish a system that prevents unexpected facility failures through big data analysis and extend the system to other processes to further improve the efficiency of maintenance work. They also plan to acquire and analyze product data that spreads across multiple processes to conduct verifications to further stabilize quality.

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