The old concept of "monozukuri" is changing drastically with the fusion of digital technologies such as DX and ICT. What should "manufacturing" be in the future super-smart society, and what issues should be solved? In this course, we will invite expert engineers from several manufacturing companies as lecturers, and provide lectures on issues in each manufacturing field related to digital technology and AI applications. Furthermore, we will give lectures on actual examples of approaches and implementations in each company.
Develop the ability to think in their own way about what manufacturing should be in a super-smart society, and to draw a roadmap to get there with their own original ideas, making the most of their own specialized fields. Furthermore, cultivates the ability to solve social problems by using such kind of manufacturing technology.
|✔ Applicable||How instructors' work experience benefits the course|
|Provided by external lecturers who have professional expertise at the companies associated with the Super Smart Society Promotion Consortium.|
Super-smart society, Manufacturing process innovation, Cyber-Physical Systems, Connected industries, Digital manufacturing, Variable-mix variable-volume production
|✔ Specialist skills||Intercultural skills||Communication skills||✔ Critical thinking skills||✔ Practical and/or problem-solving skills|
A series of lectures by several lecturers will be delivered on demand with ppt slides. Students can promptly ask questions or communicate with each other via T2SCHOLA bbs system. Feedback from lecturers will be given via T2SCHOLA.
|Course schedule||Required learning|
|Class 1||Growth and Beyond - Connecting the virtual and real worlds to accelerate change in an era of resilience||Specified in the lecture|
|Class 2||Revitalizing Japan's manufacturing industry with "D" and "X"||Specified in the lecture|
|Class 3||Use of AI for Labor-Saving in the Production of Automotive Parts||Specified in the lecture|
|Class 4||Use of software for efficient operation of AI||Specified in the lecture|
|Class 5||Production Process Innovation at Kawasaki Heavy Industries||Specified in the lecture|
|Class 6||Inspection Solutions with Robotic Systems in Manufacturing||Specified in the lecture|
|Class 7||Mazda's "Monozukuri" that leads to customer brilliance||Specified in the lecture|
Specified in the lecture
Specified in the lecture
Grading will be based on discussions with other students and lecturers about the contents of the lecture videos.
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterward (including assignments) for each class.
They should do so by referring to textbooks and other course material.