TY - GEN
T1 - CHALLENGES IN IMPLEMENTING DIGITAL TWINS – A SURVEY
AU - Trauer, Jakob
AU - Mutschler, Michael
AU - Mörtl, Markus
AU - Zimmermann, Markus
N1 - Publisher Copyright:
Copyright © 2022 by ASME.
PY - 2022
Y1 - 2022
N2 - Despite the undisputed potentials of Digital Twins, they are still lacking application in industry. However, the reasons for this observation are still unclear. Therefore, a survey with 61 industrial professionals was conducted to investigate the most crucial impediments in implementing Digital Twins. The research was guided by four research questions - (1) Is there still ambiguity in the terminology of Digital Twins? (2) What are characteristics of Digital Twin projects in industry? (3) What are the most crucial (categories of) impediments in implementing Digital Twins? and (4) Are non-technical issues more likely to cause problems, than technical issues? First, contextual aspects were collected. They include the background of the participant, the operating fields and size of the company, as well as characteristic information on digitalization projects in general and Digital Twin projects more specifically. Then participants were asked to rate categories of issues as well as very specific impediments with respect to their likelihood to cause problems in the implementation of Digital Twins. The results show that technical issues, like missing standardization of data and models, are still present. However, according to the collected data, non-technical issues, like a lack of expertise and specialists, are more likely to cause difficulties. Based on these results, directions for future development of Digital Twin research, like the need for a business modelling approach for Digital Twins or a teaching concept, are derived.
AB - Despite the undisputed potentials of Digital Twins, they are still lacking application in industry. However, the reasons for this observation are still unclear. Therefore, a survey with 61 industrial professionals was conducted to investigate the most crucial impediments in implementing Digital Twins. The research was guided by four research questions - (1) Is there still ambiguity in the terminology of Digital Twins? (2) What are characteristics of Digital Twin projects in industry? (3) What are the most crucial (categories of) impediments in implementing Digital Twins? and (4) Are non-technical issues more likely to cause problems, than technical issues? First, contextual aspects were collected. They include the background of the participant, the operating fields and size of the company, as well as characteristic information on digitalization projects in general and Digital Twin projects more specifically. Then participants were asked to rate categories of issues as well as very specific impediments with respect to their likelihood to cause problems in the implementation of Digital Twins. The results show that technical issues, like missing standardization of data and models, are still present. However, according to the collected data, non-technical issues, like a lack of expertise and specialists, are more likely to cause difficulties. Based on these results, directions for future development of Digital Twin research, like the need for a business modelling approach for Digital Twins or a teaching concept, are derived.
KW - Data-Driven Design
KW - Design Theory and Methodology
KW - Digital Twins
KW - Industry 4.0
KW - Product Development
KW - Survey
KW - Systems Design
UR - http://www.scopus.com/inward/record.url?scp=85131376933&partnerID=8YFLogxK
U2 - 10.1115/DETC2022-88786
DO - 10.1115/DETC2022-88786
M3 - Conference contribution
AN - SCOPUS:85131376933
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 42nd Computers and Information in Engineering Conference (CIE)
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2022
Y2 - 14 August 2022 through 17 August 2022
ER -