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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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. / Stamer, Florian; Fausel, Kathrin; Peukert, Sina et al.
In: Production Engineering, Vol. 17, No. 5, 10.2023, p. 743-752.

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@article{58b736b7a5054d5d8c45e87f39a7cc75,
title = "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",
abstract = "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.",
keywords = "Cyber-physical systems, Industry 4.0, Performance measurement, Simulation, Smart service, Engineering",
author = "Florian Stamer and Kathrin Fausel and Sina Peukert and Gisela Lanza",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
month = oct,
doi = "10.1007/s11740-023-01185-8",
language = "English",
volume = "17",
pages = "743--752",
journal = "Production Engineering",
issn = "0944-6524",
publisher = "Springer",
number = "5",

}

RIS

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 -