TY - JOUR
T1 - Digital twin
T2 - Current shifts and their future implications in the conditions of technological disruption
AU - Kaivo-Oja, Jari
AU - Kuusi, Osmo
AU - Knudsen, Mikkel Stein
AU - Lauraéus, Iris Theresa
N1 - Publisher Copyright:
© 2020 Inderscience Enterprises Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - We are in the midst of a significant transformation regarding the way we produce products and deliver services thanks to the digitisation of manufacturing and new connected supply-chains and co-creation systems. This article elaborates digital twins approach to the current challenges of knowledge management when Industry 4.0 is emerging in industries and manufacturing. There are not very many studies, which have elaborated on this important question from a knowledge management perspective. This article summarised this ongoing discussion. We observe three major shifts ongoing with digital twins: first, there is a drive towards the added complexity of the environments modelled by digital twins. Secondly, the paradigm offers a general shift from analysing ex-post data to predicting the future. Third, in the future, digital twin can move from cyber-physical integration of physical and virtual entities towards cyber-physical integration of larger interconnected networks presenting a new digital twin interaction-puzzle. The identification of these shifts and their implications is a new addition to the scientific literature in the field. The article presents five scenarios of technological disruption based on Clayton M. Christensen's model. This is a novel extension of Clayton M. Christensen's original idea and model.
AB - We are in the midst of a significant transformation regarding the way we produce products and deliver services thanks to the digitisation of manufacturing and new connected supply-chains and co-creation systems. This article elaborates digital twins approach to the current challenges of knowledge management when Industry 4.0 is emerging in industries and manufacturing. There are not very many studies, which have elaborated on this important question from a knowledge management perspective. This article summarised this ongoing discussion. We observe three major shifts ongoing with digital twins: first, there is a drive towards the added complexity of the environments modelled by digital twins. Secondly, the paradigm offers a general shift from analysing ex-post data to predicting the future. Third, in the future, digital twin can move from cyber-physical integration of physical and virtual entities towards cyber-physical integration of larger interconnected networks presenting a new digital twin interaction-puzzle. The identification of these shifts and their implications is a new addition to the scientific literature in the field. The article presents five scenarios of technological disruption based on Clayton M. Christensen's model. This is a novel extension of Clayton M. Christensen's original idea and model.
KW - CPS
KW - Cyber-physical systems
KW - Digital twins
KW - Industry 4.0
KW - Innovator's dilemma
KW - Knowledge management
KW - Simulation modelling
KW - Technological disruption
UR - http://www.scopus.com/inward/record.url?scp=85091904352&partnerID=8YFLogxK
U2 - 10.1504/ijwet.2020.109730
DO - 10.1504/ijwet.2020.109730
M3 - Article
AN - SCOPUS:85091904352
SN - 1476-1289
VL - 15
SP - 170
EP - 188
JO - International Journal of Web Engineering and Technology
JF - International Journal of Web Engineering and Technology
IS - 2
ER -