2025 (Current Year) Special graduate degree programs Specially Offered Degree Programs for Graduate Students Academy for Super Smart Society
Super Smart Society Innovation A5: Production Process Innovation
- Academic unit or major
- Academy for Super Smart Society
- Instructor(s)
- Makoto Urakawa / Kimiko Kishi / Kei Sakaguchi / Yasuji Ota / Kenji Kajihata / Tomohisa Tanaka / Mitsuji Sampei / Hiroya Nakao / Akinori Nishihara / Eisuke Fukuda / Tao Yu / Keiichiro Kobuchi / Tohru Onozaki / Wataru Murata / Masahiro Saito / Koji Takeda / Hirotaka Kan
- Class Format
- Lecture
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - On-demand
- Class
- -
- Course Code
- SSS.S405
- Number of credits
- 100
- Course offered
- 2025
- Offered quarter
- 2Q
- Syllabus updated
- Mar 19, 2025
- Language
- English
Syllabus
Course overview and goals
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.
Course description and aims
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, students will be able to propose solutions to social issues by using such kind of manufacturing technology.
Student learning outcomes
実務経験と講義内容との関連 (又は実践的教育内容)
Provided by external lecturers who have professional expertise at the companies associated with the Super Smart Society Promotion Consortium.
Keywords
Super-smart society, Manufacturing process innovation, Cyber-Physical Systems, Connected industries, Digital manufacturing, Variable-mix variable-volume production
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| 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 |
Study advice (preparation and review)
Textbook(s)
Specified in the lecture
Reference books, course materials, etc.
Specified in the lecture
Evaluation methods and criteria
Grading will be based on discussions with other students and lecturers about the contents of the lecture videos.
Related courses
- SSS.S401 ： Super Smart Society Innovation A1: Frontiers in Quantum Technology
- SSS.S402 ： Super Smart Society Innovation A2: IoT/ Robotics/Smart city
- SSS.S403 ： Super Smart Society Innovation A3: Frontiers in Smart Agriculture
- SSS.S404 ： Super Smart Society Innovation: Frontiers in Smart Workplaces
- SSS.S406 ： Super Smart Society Innovation A6: Smart Ocean
- SSS.S407 ： Super Smart Society Innovation A7: Quantum Science and Technology Close at Hand
Prerequisites
None
Other
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.