A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment

Intertwining smart manufacturing and the Internet of Things (IoT) is known as the Industrial Internet of Things (IIoT). IIoT improves product quality and reliability and requires intelligent connection, real-time data processing, collaborative monitoring, and automatic information processing. Recent...

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Main Authors: Haotian Chen, Sekione Reward Jeremiah, Changhoon Lee, Jong Hyuk Park
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/3/1440
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author Haotian Chen
Sekione Reward Jeremiah
Changhoon Lee
Jong Hyuk Park
author_facet Haotian Chen
Sekione Reward Jeremiah
Changhoon Lee
Jong Hyuk Park
author_sort Haotian Chen
collection DOAJ
description Intertwining smart manufacturing and the Internet of Things (IoT) is known as the Industrial Internet of Things (IIoT). IIoT improves product quality and reliability and requires intelligent connection, real-time data processing, collaborative monitoring, and automatic information processing. Recently, it has been increasingly deployed; however, multi-party collaborative information processing is often required in heterogeneous IIoT. The security and efficiency requirements of each party interacting with other partners have become a significant challenge in information security. This paper proposes an automated smart manufacturing framework based on Digital Twin (DT) and Blockchain. The data used in the DT are all from the cluster generated after blockchain authentication. The processed data in the DT will only be accessed and visualized in the cloud when necessary. Therefore, all the data transmitted in the process are result reports, avoiding the frequent transmission of sensitive data. Simulation results show that the proposed authentication mode takes less time than the standard protocol. In addition, our DT framework for a smart factory deploys the PDQN DRL model, proving to have higher accuracy, stability, and reliability.
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spelling doaj.art-3f58a8348cc64e1fbf821537c469183f2023-11-16T16:05:29ZengMDPI AGApplied Sciences2076-34172023-01-01133144010.3390/app13031440A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT EnvironmentHaotian Chen0Sekione Reward Jeremiah1Changhoon Lee2Jong Hyuk Park3Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 139-743, Republic of KoreaDepartment of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 139-743, Republic of KoreaDepartment of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 139-743, Republic of KoreaDepartment of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 139-743, Republic of KoreaIntertwining smart manufacturing and the Internet of Things (IoT) is known as the Industrial Internet of Things (IIoT). IIoT improves product quality and reliability and requires intelligent connection, real-time data processing, collaborative monitoring, and automatic information processing. Recently, it has been increasingly deployed; however, multi-party collaborative information processing is often required in heterogeneous IIoT. The security and efficiency requirements of each party interacting with other partners have become a significant challenge in information security. This paper proposes an automated smart manufacturing framework based on Digital Twin (DT) and Blockchain. The data used in the DT are all from the cluster generated after blockchain authentication. The processed data in the DT will only be accessed and visualized in the cloud when necessary. Therefore, all the data transmitted in the process are result reports, avoiding the frequent transmission of sensitive data. Simulation results show that the proposed authentication mode takes less time than the standard protocol. In addition, our DT framework for a smart factory deploys the PDQN DRL model, proving to have higher accuracy, stability, and reliability.https://www.mdpi.com/2076-3417/13/3/1440digital twinsblockchainindustrial internet of thingssmart manufacturing
spellingShingle Haotian Chen
Sekione Reward Jeremiah
Changhoon Lee
Jong Hyuk Park
A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment
Applied Sciences
digital twins
blockchain
industrial internet of things
smart manufacturing
title A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment
title_full A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment
title_fullStr A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment
title_full_unstemmed A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment
title_short A Digital Twin-Based Heuristic Multi-Cooperation Scheduling Framework for Smart Manufacturing in IIoT Environment
title_sort digital twin based heuristic multi cooperation scheduling framework for smart manufacturing in iiot environment
topic digital twins
blockchain
industrial internet of things
smart manufacturing
url https://www.mdpi.com/2076-3417/13/3/1440
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