Development of a simulative approach in order to estimate the impact of smart services on a production system: Linking the influence of smart services to economic potential in production
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In: Production Engineering, Vol. 17, No. 5, 10.2023, p. 743-752.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Development of a simulative approach in order to estimate the impact of smart services on a production system
T2 - Linking the influence of smart services to economic potential in production
AU - Stamer, Florian
AU - Fausel, Kathrin
AU - Peukert, Sina
AU - Lanza, Gisela
N1 - Publisher Copyright: © 2023, The Author(s).
PY - 2023/10
Y1 - 2023/10
N2 - The increasing digitalisation and development of the fourth industrial revolution have created new opportunities in the B2B manufacturing industry. These opportunities come in the form of smart services, which are made possible by the interconnectedness of machines and products and the collection and analysis of data. However, there is uncertainty among potential users about the benefits of these smart services for their production systems. This paper aims to address this uncertainty by developing a simulation model that quantifies the impact of a smart service on a production system, using monetary benefit as a key performance indicator. To do so, the influence of a smart service on a production system is analysed and a generic production system model is developed. The generic model can then be used to analyse different smart service configurations and production systems to examine the effect of the smart service. This is demonstrated through the application of the simulation method to a use case studying the benefit of intelligent quality control and predictive maintenance.
AB - The increasing digitalisation and development of the fourth industrial revolution have created new opportunities in the B2B manufacturing industry. These opportunities come in the form of smart services, which are made possible by the interconnectedness of machines and products and the collection and analysis of data. However, there is uncertainty among potential users about the benefits of these smart services for their production systems. This paper aims to address this uncertainty by developing a simulation model that quantifies the impact of a smart service on a production system, using monetary benefit as a key performance indicator. To do so, the influence of a smart service on a production system is analysed and a generic production system model is developed. The generic model can then be used to analyse different smart service configurations and production systems to examine the effect of the smart service. This is demonstrated through the application of the simulation method to a use case studying the benefit of intelligent quality control and predictive maintenance.
KW - Cyber-physical systems
KW - Industry 4.0
KW - Performance measurement
KW - Simulation
KW - Smart service
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85147582892&partnerID=8YFLogxK
U2 - 10.1007/s11740-023-01185-8
DO - 10.1007/s11740-023-01185-8
M3 - Journal articles
AN - SCOPUS:85147582892
VL - 17
SP - 743
EP - 752
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 5
ER -