Publication type: Conference paper
Type of review: Peer review (publication)
Title: The digital twin as a service enabler : from the service ecosystem to the simulation model
Authors: Meierhofer, Jürg
West, Shaun
Rapaccini, Mario
Barbieri, Cosimo
et. al: No
DOI: 10.1007/978-3-030-38724-2_25
Proceedings: IESS 2020 : Exploring Service Science
Editors of the parent work: Nóvoa, Henriqueta
Drăgoicea, Monica
Kühl, Niklas
Pages: 347
Pages to: 359
Conference details: 10th International Conference on Exploring Service Science, Porto, Portugal, 5–7 February 2020
Issue Date: Feb-2020
Series: Lecture Notes in Business Information Processing
Series volume: 377
Publisher / Ed. Institution: Springer
Publisher / Ed. Institution: Cham
ISBN: 978-3-030-38723-5
ISSN: 1865-1348
Language: English
Subjects: Smart services; Servitization of manufacturing; Digital twin
Subject (DDC): 670: Manufacturing
Abstract: This paper investigates the concept of the digital twin as an enabler for smart services in the context of the servitization of manufacturing. In particular, a concept is developed and proposed for the derivation of appropriate simulation models starting from the model of the service ecosystem. To do so, smart industrial services are analyzed from the point of view of their value proposition. Next, the role of the digital twin as an enabler for these services is analyzed and structured in a multi-layer architecture. Hybrid simulation approaches are identified as suitable for building simulation models for this architecture. Finally, a procedural end-to-end approach for developing a simulation based digital twin departing from the service ecosystem is proposed.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in Collections:Publikationen School of Engineering

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