2021
DOI: 10.1016/j.arcontrol.2021.04.008
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A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins

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Cited by 142 publications
(50 citation statements)
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“…That means different reduced models of the devices running parallel and can be used to assemble a DT in real-time. Development [19], simulation [16], optimization [20], and even manufacturing processes [21] will definitely become easy using DT technology. Application of DT for optimization of the early-stage system may have the potential to change the optimization concept of it, changes suggested by optimization may be immediately applied in various simulations to evaluate how the final product will interact with a real environment.…”
Section: Discussionmentioning
confidence: 99%
“…That means different reduced models of the devices running parallel and can be used to assemble a DT in real-time. Development [19], simulation [16], optimization [20], and even manufacturing processes [21] will definitely become easy using DT technology. Application of DT for optimization of the early-stage system may have the potential to change the optimization concept of it, changes suggested by optimization may be immediately applied in various simulations to evaluate how the final product will interact with a real environment.…”
Section: Discussionmentioning
confidence: 99%
“…In this work, strategies are applied to monitor the microstructure process, with the aim of demonstrating the excellent performance of the framework in a very complex system. Another study regarding using AI for decision-making and reliability validation was done by Villalonga et al They proposed a framework for decentralized and integrated decision-making for rescheduling a physical cyber-production system [32]. Furthermore, the decision-making process is supported on a fuzzy inference system using the state or conditions of different assets and the production rate of the whole system.…”
Section: Possibility Of Validating Reliability Using Artificial Intelligencementioning
confidence: 99%
“…As far as communication networks challenges are concerned, according to the reviewed works, the proposals focus on SDN. Industry 4.0 uses SDNs to implement network virtualization [168], Ethernet network metrics [169], cloud manufacturing [170], cybersecurity [171], or resource allocation and information exchange for IoT or Industry 4.0 [172,173].…”
Section: Industry 40mentioning
confidence: 99%