Publication type: Conference paper
Type of review: Peer review (abstract)
Title: Data-driven decision support by digital twins in manufacturing
Authors: Meierhofer, Jürg
West, Shaun
et. al: No
DOI: 10.1109/SDS49233.2020.00019
Proceedings: Proceedings of the 7th Swiss Conference on Data Science (SDS 2020)
Pages: 53
Pages to: 54
Conference details: 2020 Swiss Conference on Data Science (SDS), Online, 26 June 2020
Issue Date: 26-Jun-2020
Publisher / Ed. Institution: IEEE
ISBN: 978-1-7281-7177-7
Language: English
Subjects: Digital twin; Data-driven services; Decision support; Simulation modelling
Subject (DDC): 005: Computer programming, programs and data
620: Engineering
Abstract: This conceptual paper addresses the implementation of digital twins to provide decision support services in manufacturing environments. It differentiates the twin among different layers and phases of the equipment lifecycle and integrates different modelling techniques into a systematic decision chain.
URI: https://digitalcollection.zhaw.ch/handle/11475/20576
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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