Developing a Digital Twin Learning Factory of Automated Assembly Based on ‘digital Triplet’ Concept

6 Pages Posted: 4 Jun 2021

See all articles by Yasushi Umeda

Yasushi Umeda

The University of Tokyo

Junpei Goto

The University of Tokyo

Yuki Hongo

The University of Tokyo

Shouhei Shirafuji

The University of Tokyo

Hiroshi Yamakawa

The University of Tokyo

Dongsik Kim

The University of Tokyo

Jun Ota

The University of Tokyo

Hiroki Matsuzawa

Denso Corporation

Takuji Sukekawa

Denso Corporation

Fumio Kojima

Denso Corporation

Masahiro Saito

Denso Corporation

Date Written: June 2, 2021

Abstract

For supporting manufacturing system engineers, we are proposing ‘Digital Triple,’ which consists of physical world, cyber world, and the intelligent activity world where engineers execute various engineering activities by using cyber physical systems.

For verifying the concept of Digital Triple, the objective of this research is to develop a learning factory implementing Digital Triplet. This paper describes this learning factory named ‘D3LF@RACE’ focusing on its digital twin functionality. After clarifying the requirements for D3LF@RACE, the system architecture of the learning factory is illustrated. The system started to be used for education and research. Finally, three critical points for constructing digital twin are discussed; the difficulty of mapping the physical and the cyber worlds, the limitation of the modeling ability, and the problem in supporting the execution of the engineering cycles.

Keywords: Learning factory; digital triple; digital twin; cyber physical systems; manufacturing system

Suggested Citation

Umeda, Yasushi and Goto, Junpei and Hongo, Yuki and Shirafuji, Shouhei and Yamakawa, Hiroshi and Kim, Dongsik and Ota, Jun and Matsuzawa, Hiroki and Sukekawa, Takuji and Kojima, Fumio and Saito, Masahiro, Developing a Digital Twin Learning Factory of Automated Assembly Based on ‘digital Triplet’ Concept (June 2, 2021). Proceedings of the Conference on Learning Factories (CLF) 2021, Available at SSRN: https://ssrn.com/abstract=3859019 or http://dx.doi.org/10.2139/ssrn.3859019

Yasushi Umeda (Contact Author)

The University of Tokyo ( email )

7-3-1 Hongo
Bunkyo-ku
Tokyo, 113-0033
Japan

Junpei Goto

The University of Tokyo

7-3-1 Hongo
Bunkyo-ku
Tokyo, 113-0033
Japan

Yuki Hongo

The University of Tokyo

7-3-1 Hongo
Bunkyo-ku
Tokyo, 113-0033
Japan

Shouhei Shirafuji

The University of Tokyo

7-3-1 Hongo
Bunkyo-ku
Tokyo, 113-0033
Japan

Hiroshi Yamakawa

The University of Tokyo

7-3-1 Hongo
Bunkyo-ku
Tokyo, 113-0033
Japan

Dongsik Kim

The University of Tokyo ( email )

7-3-1 Hongo
Bunkyo-ku
Tokyo, 113-0033
Japan

Jun Ota

The University of Tokyo

7-3-1 Hongo
Bunkyo-ku
Tokyo, 113-0033
Japan

Hiroki Matsuzawa

Denso Corporation

Showa 1-1
Kariya, Aichi 448-8661
Japan

Takuji Sukekawa

Denso Corporation

Showa 1-1
Kariya, Aichi 448-8661
Japan

Fumio Kojima

Denso Corporation

Showa 1-1
Kariya, Aichi 448-8661
Japan

Masahiro Saito

Denso Corporation

Showa 1-1
Kariya, Aichi 448-8661
Japan

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
38
Abstract Views
134
PlumX Metrics