Model-Based Simulation Framework for Digital Twins in the Process Industry-Reference-Cited by-同舟云学术

Model-Based Simulation Framework for Digital Twins in the Process Industry

Published:2023 Issue: Volume:11 Page:111701-111714
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sarantinoudis Nikolaos¹^ORCID,Tsinarakis Georgios¹,Dedousis Panagiotis²,Arampatzis George¹^ORCID

Affiliation:

1. Industrial and Digital Innovations Research Group (INDIGO), School of Production Engineering and Management, Technical University of Crete, Technical University Campus, Akrotiri, Crete, Chania, Greece

2. Department of Informatics, Athens University of Economics and Business, Athens, Attiki, Greece

Funder

European Union’s Horizon 2020 Program through the Project Energy-aware Factory Analytics for Process Industries

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10273984.pdf?arnumber=10273984

Reference44 articles.

1. A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

2. Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model

3. Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

4. Complex networks of material flow in manufacturing and logistics: Modeling, analysis, and prediction using stochastic block models

5. Applications of digital twin across industries: A review;singh;Appl Sci,2022

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2. A semantic model-based systems engineering approach for assessing the operational performance of metal forming process;Computers & Industrial Engineering;2024-04

3. Industrial Circular Water Use Practices Through the Application of a Conceptual Water Efficiency Framework in the Process Industry;2024

4. An Interpretable Digital Twin for Self-Aware Industrial Machines;Sensors;2023-12-19