Promoting DX (德赢ac米兰vwin) to solve social issues and contribute to unrivaled quality
- We are deepening digital technologies as the center of the 德赢ac米兰vwin.
- 德赢ac米兰vwin developing digital technologies which contribute to the achievement of the SDGs and the resolution of social issues.
Specifically,
- We are creating 德赢ac米兰vwin in the integrated fields of information, energy and mobility.
- We are innovating in manufacturing technologies (MONOZUKURI) and realize unrivaled quality by combining digital technologies and the four core technologies of 德赢ac米兰vwin (metals, polymers, photonics and high frequency electronics). - We are developing AI and IoT human resources those able to succeed across the 德赢ac米兰vwin.
Message from the Center Director
In a future society, “products” and “the right experience for the customer” will be connected strongly by data and new values will be created. For example, autonomous driving, an integrated area of information and mobility, is becoming a major trend.
The digital technologies of AI and IoT are essential for realizing the creation of 德赢ac米兰vwin that solve social issues and the innovation in MONOZUKURI for the society. For example, high reliability and quality of products based on AI and IoT technologies are essential in order to use “unmanned, remote and automatic control” at ease.
In order to strengthen digital technologies as basic technologies, we will establish a cross-sectoral organization integrating 德赢ac米兰vwinD, MONOZUKURI, ICT strategy and marketing divisions, and reinforce our number of AI human resources above 100 people by fiscal year 2021.
Also, we will combine digital technologies with the strengths of the 德赢ac米兰vwin
・to realize DX including remote and automated control based on the detection of abnormalities using AI and IoT,
・and the digitization and digitalization of data related to social infrastructure
such as roads and electric lines.
Main development themes
The “model” of DX
- Remote and unmanned control based on AI
- The digitization and digitalization of data related to infrastructure
The basic concept of digitalization
Application of AI technologies to visual inspections
Challenging towards the thorough streamlining of inspections
Visual inspections, conventional image processing
- Personalization of inspections
- Large burden on business
Investigation examples
- Automotive parts
- Electrical wire
Process informatics
Challenging towards data-driven quality improvements
Feature prediction, factor analysis and abnormality detection
Conventional process control
- The experience and intuition of an expert
- Issues in technology transfer
Investigation examples
- Optical communication parts
- Metal products
Materials informatics
Challenging towards great reduction of material development time
Conventional material development
- Enormous amounts of time for experiments and calculations
Investigation examples
- Crystalline materials
- Metallic materials
Contact for inquiries about research and development.