2023 Super Smart Society Innovation A5: Production Process Innovation

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Academic unit or major
Academy for Super Smart Society
Tanaka Tomohisa  Sampei Mitsuji  Nakao Hiroya  Nishihara Akinori  Fukuda Eisuke  Yu Tao  Kobuchi Keiichiro  Onozaki Tohru  Murata Wataru  Saito Masahiro  Yoshioka Arata  Takeda Koji 
Class Format
Lecture    (On-demand)
Media-enhanced courses
Day/Period(Room No.)
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Academic year
Offered quarter
Syllabus updated
Lecture notes updated
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Course description and aims

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.

Student learning outcomes

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.

Course taught by instructors with work experience

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

Competencies that will be developed

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/Required learning

  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

Reference books, course materials, etc.

Specified in the lecture

Assessment criteria and methods

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

Prerequisites (i.e., required knowledge, skills, courses, etc.)



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.

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