research-article

Simulation in Digital Enterprises

Author:

Wolfgang KuehnAuthors Info & Claims

ICCMS '19: Proceedings of the 11th International Conference on Computer Modeling and Simulation

Pages 55 - 59

https://doi.org/10.1145/3307363.3307370

Published: 16 January 2019 Publication History

Abstract

Digital production and logistic enterprise systems are complex systems, in terms of layout variability, control strategies, business processes and system parameter. All of these aspects are not independent and even due to the system dynamics the optimal solution may differ depending on the actual situation applying specific requirements. The planning, optimization and operation of these complex systems requires modern, data and simulation driven multi criteria decision approaches. Simulation based analyses can be uses through all phases on different planning and operating levels. In order to improve operative decision making in production and logistic enterprises the digital twin concept, using virtual clones of real systems or subsystems, can be applied. Due to improved network and computing power operative simulation concepts are starting now to be realized in industrial practice.

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Cited By

Thielen MTrube NSchneider Jvon Ramin M(2024)Biomimetic Regulation in Supply Chains and Production SystemsAdvanced Intelligent Systems10.1002/aisy.2024000496:9Online publication date: 3-Jul-2024
https://doi.org/10.1002/aisy.202400049
Kovacs EMori K(2023)Digital Twin Architecture – An IntroductionThe Digital Twin10.1007/978-3-031-21343-4_5(125-151)Online publication date: 3-Jun-2023
https://doi.org/10.1007/978-3-031-21343-4_5
Chandaluri RNelakuditi U(2022)Monograph on Components, Design, and Applications of Digital TwinInternational Journal of Next-Generation Computing10.47164/ijngc.v13i3.768Online publication date: 31-Oct-2022
https://doi.org/10.47164/ijngc.v13i3.768
Show More Cited By

Index Terms

Simulation in Digital Enterprises
1. Applied computing
  1. Electronic commerce
    1. Electronic data interchange

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cover image ACM Other conferences

ICCMS '19: Proceedings of the 11th International Conference on Computer Modeling and Simulation

January 2019

253 pages

ISBN:9781450366199

DOI:10.1145/3307363

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

University of Wollongong, Australia
College of Technology Management, National Tsing Hua University, Taiwan
Swinburne University of Technology
University of Technology Sydney

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 January 2019

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ICCMS 2019

ICCMS 2019: The 11th International Conference on Computer Modeling and Simulation

January 16 - 19, 2019

QLD, North Rockhampton, Australia

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Cited By

Thielen MTrube NSchneider Jvon Ramin M(2024)Biomimetic Regulation in Supply Chains and Production SystemsAdvanced Intelligent Systems10.1002/aisy.2024000496:9Online publication date: 3-Jul-2024
https://doi.org/10.1002/aisy.202400049
Kovacs EMori K(2023)Digital Twin Architecture – An IntroductionThe Digital Twin10.1007/978-3-031-21343-4_5(125-151)Online publication date: 3-Jun-2023
https://doi.org/10.1007/978-3-031-21343-4_5
Chandaluri RNelakuditi U(2022)Monograph on Components, Design, and Applications of Digital TwinInternational Journal of Next-Generation Computing10.47164/ijngc.v13i3.768Online publication date: 31-Oct-2022
https://doi.org/10.47164/ijngc.v13i3.768
Stary CHeininger R(2022)Privacy by Sharing Autonomy – A Design-Integrating Engineering ApproachSubject-Oriented Business Process Management. Dynamic Digital Design of Everything – Designing or being designed?10.1007/978-3-031-19704-8_1(3-22)Online publication date: 15-Nov-2022
https://doi.org/10.1007/978-3-031-19704-8_1
Kosacka-Olejnik MKostrzewski MMarczewska MMrówczyńska BPawlewski P(2021)How Digital Twin Concept Supports Internal Transport Systems?—Literature ReviewEnergies10.3390/en1416491914:16(4919)Online publication date: 11-Aug-2021
https://doi.org/10.3390/en14164919
Elijah ORahim SEmmanuel ASalihu YUsman ZJimoh A(2021)Enabling Smart Agriculture in Nigeria: Application of Digital-Twin Technology2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)10.1109/ICMEAS52683.2021.9692351(1-6)Online publication date: 15-Jul-2021
https://doi.org/10.1109/ICMEAS52683.2021.9692351
Elijah OLing PAbdul Rahim SGeok TArsad AKadir EAbdurrahman MJunin RAgi AAbdulfatah M(2021)A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream SectorIEEE Access10.1109/ACCESS.2021.31213029(144438-144468)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3121302
Fuller AFan ZDay CBarlow C(2020)Digital Twin: Enabling Technologies, Challenges and Open ResearchIEEE Access10.1109/ACCESS.2020.29983588(108952-108971)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2998358

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