Graduate School of Engineering at the University of Tokyo (Dean: Yasuhiro Kato, hereinafter “the University of Tokyo”and DENSO CORPORATION (Headquarters: Kariya, Aichi Prefecture; President & & CEO: Shinnosuke Hayashi, hereinafter “DENSO”have actually collectively developed a Social Cooperation Program * 1, “Building Sustainable Production System Infrastructure with Advanced AI Technology” since Tuesday, April 1, 2025.
This course intends to even more improve Japan’s strength in lean production innovation * 2– a trademark of its production market– by leveraging digitalization and AI innovations, thus building a brand-new functional platform for next-generation production systems. The effort will concentrate on integrating the proficiency typically bied far by proficient experts on the production flooring and promoting the sustainable development of production systems. In addition, by arranging and using the info gathered, the course will add to establishing personnels for the future of production by incorporating these insights into next-generation production education.
* 1 Social Cooperation Program:
In the context of Japanese universities, this describes a specialized course or research study program developed within a professors or graduate school, moneyed and co-developed in collaboration with external companies such as personal business (omitting nationwide research study and advancement firms). The goal is to collectively resolve typical public-interest problems through collective research study and education.
* 2 Lean Manufacturing innovation:
A production management and on-site operations approach that attains extremely effective production by completely removing waste. Lean production is extensively acknowledged for enhancing procedures and taking full advantage of efficiency and is a distinct strength of Japanese production markets.
Conceptual Diagram of Sustainable Production System
-Background
While Japanese production is identified by its strength in lean production innovations, the market is presently dealing with major obstacles such as a decreasing workforce and troubles in giving specialized abilities and proficiency. To conquer these problems and accomplish sustainable development, it is vital to speed up digitalization on the factory flooring and utilize AI innovations.
Huge quantities of information are collected daily at production websites, the truth is that this information is not being totally made use of. The specialist abilities and judgment had by knowledgeable employees– typically referred to as “tacit knowledge”– are naturally hard to formalize and move, making understanding succession a substantial obstacle. In order to drastically boost efficiency and develop resistant production systems efficient in adjusting to alter, it is vital to incorporate comprehensive information with specialist understanding through AI innovations, therefore developing brand-new worth for the production sector.
– Overview
Program Name: “Building Sustainable Production System Infrastructure with Advanced AI Technology”
Period: April 1, 2025, to March 31, 2029
Affiliated Department: Graduate School of Engineering, The University of Tokyo
Collaborating Company: DENSO CORPORATION
Accountable professor:
Jun Ota (Professor, Research into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo)
Yasushi Umeda (Professor, Department of Precision Engineering, School of Engineering, The University of Tokyo)
Tatsunori Hara (Associate Professor, Research into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo)
Kohei Kaminishi (Project Lecturer, Research into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo)devoted site: https://denso.fa.race.t.u-tokyo.ac.jp/
– Contents of Specific Research
System of Knowledge on Data Analysis Processes and Logic for Production System Operations
We will integrate the procedures and reasoning for evaluating functional information acquired from making websites and equating these insights into enhancements, developing them as recyclable understanding.
Extraction of Information from Operational Data and Process/Equipment Models; Analysis and Inference of Causes of Abnormality and Countermeasures
We will integrate in-depth functional information such as sensing unit information and images with designs of production procedures and devices and utilize AI to draw out helpful details. Based upon this, we are establishing innovation to immediately examine and presume the reasons for production irregularities and countermeasures.
Design and Knowledge Management for the Sustainable Development of Production System Operation Platforms
We will develop efficient design management and understanding management approaches to keep the industrialized understanding designs and collected understanding as much as date, making it possible for the production system to continually progress and establish.
System of Research Outcomes and Application to Next-Generation Monozukuri Education
We will arrange and integrate the research study results gotten through this course and use them to the advancement of curricula created to cultivate skill for the future of Monozukuri, where AI and information usage are necessary.
We intend to develop techniques that add to the building and construction of a sustainable next-generation production system operation platform by integrating the University of Tokyo’s innovative AI research study abilities with DENSO’s production understanding and innovations cultivated over several years.
Referral 1: To honor the launch of this joint lecture series, we will hold a public kickoff seminar to present its activities to a broad audience. Through discussions on research study subjects by lecture series members and panel conversations by speakers, we will analyze the future of next-generation production systems.
Seminar Overview
Date: Tuesday, October 21, 2025, 2:00 PM– 5:30 PM (Optional Tour: 1:00 PM– 1:50 PM)
Location: Room 51, 1st Floor, Building 5, Faculty of Engineering, Hongo Campus, The University of Tokyo, and online (by means of Zoom)
Involvement charge: Free
For information such as how to use, please describe the site of the Research into Artifacts, Center for Engineering (RACE), The University of Tokyo. (https://race.t.u-tokyo.ac.jp/
Recommendation 2: To cultivate a sense of unity in between the University of Tokyo and DENSO, and to motivate much deeper compassion with DENSO’s viewpoint, the devoted class in Building 5 of the Faculty of Engineering at the University of Tokyo utilized for this course will be embellished with DENSO’s business colors and logo design from September 2025 till March 2029, when the course concludes.
