TY - GEN
T1 - Automated Model Development for the Simulation of Global Production Networks
AU - Milde, Michael
AU - Reinhart, Gunther
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - A growing number of manufacturing companies organize their production in global production networks, which tend to show a high degree of complexity. Improving operational performance or managing risks like production breakdowns and delayed transportation between production plants is challenging in these complex systems. Literature proposes discrete event simulation as an adequate tool to support the management of network operations. Companies are currently not able to exploit the potential of the required large-scale simulations of production networks as the development process of these simulations is lengthy, challenging and cost-intensive. In this paper, we introduce a concept to use highly granular data originating from production and information systems to automate simulation model development and parametrization.
AB - A growing number of manufacturing companies organize their production in global production networks, which tend to show a high degree of complexity. Improving operational performance or managing risks like production breakdowns and delayed transportation between production plants is challenging in these complex systems. Literature proposes discrete event simulation as an adequate tool to support the management of network operations. Companies are currently not able to exploit the potential of the required large-scale simulations of production networks as the development process of these simulations is lengthy, challenging and cost-intensive. In this paper, we introduce a concept to use highly granular data originating from production and information systems to automate simulation model development and parametrization.
KW - Global production networks
KW - Simulation
KW - Simulation model development
UR - http://www.scopus.com/inward/record.url?scp=85119433265&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-90700-6_53
DO - 10.1007/978-3-030-90700-6_53
M3 - Conference contribution
AN - SCOPUS:85119433265
SN - 9783030906993
T3 - Lecture Notes in Mechanical Engineering
SP - 467
EP - 474
BT - Towards Sustainable Customization
A2 - Andersen, Ann-Louise
A2 - Andersen, Rasmus
A2 - Brunoe, Thomas Ditlev
A2 - Larsen, Maria Stoettrup Schioenning
A2 - Nielsen, Kjeld
A2 - Napoleone, Alessia
A2 - Kjeldgaard, Stefan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th Changeable, Agile, Reconfigurable and Virtual Production Conference, CARV 2021 and 10th World Mass Customization and Personalization Conference, MCPC 2021
Y2 - 1 November 2021 through 2 November 2021
ER -