TY - JOUR
T1 - Challenges of Digital Twin in High Value Manufacturing
AU - Singh, Sumit
AU - Shehab, Essam
AU - Higgins, Nigel
AU - Fowler, Kevin
AU - Tomiyama, Tetsuo
AU - Fowler, Chris
N1 - Funding Information:
The present work is accomplished in collaboration of Cranfield University and AIRBUS Operations Ltd, UK. The project is registered under Engineering and Physical Sciences Research Council (EPSRC) ICASE Studentship (2017) and supported by EPSRC National Productivity Investment Fund and AIRBUS, UK.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Digital Twin (DT) is a dynamic digital representation of a real-world asset, process or system. Industry 4.0 has recognised DT as the game changer for manufacturing industries in their digital transformation journey. DT will play a significant role in improving consistency, seamless process development and the possibility of reuse in subsequent stages across the complete lifecycle of the product. As the concept of DT is novel, there are several challenges that exist related to its phase of development and implementation, especially in high value manufacturing sector. The paper presents a thematic analysis of current academic literature and industrial knowledge. Based on this, eleven key challenges of DT were identified and further discussed. This work is intended to provide an understanding of the current state of knowledge around DT and formulate the future research directions.
AB - Digital Twin (DT) is a dynamic digital representation of a real-world asset, process or system. Industry 4.0 has recognised DT as the game changer for manufacturing industries in their digital transformation journey. DT will play a significant role in improving consistency, seamless process development and the possibility of reuse in subsequent stages across the complete lifecycle of the product. As the concept of DT is novel, there are several challenges that exist related to its phase of development and implementation, especially in high value manufacturing sector. The paper presents a thematic analysis of current academic literature and industrial knowledge. Based on this, eleven key challenges of DT were identified and further discussed. This work is intended to provide an understanding of the current state of knowledge around DT and formulate the future research directions.
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U2 - 10.4271/2018-01-1928
DO - 10.4271/2018-01-1928
M3 - Conference article
AN - SCOPUS:85060939169
VL - 2018-November
JO - SAE Technical Papers
JF - SAE Technical Papers
SN - 0148-7191
T2 - SAE 2018 4th Aerospace Systems and Technology Conference, ASTC 2018
Y2 - 6 November 2018 through 8 November 2018
ER -