Article
Automation & Control Systems
David Hastbacka, Jari Halme, Laurentiu Barna, Henrikki Hoikka, Henri Pettinen, Martin Larranaga, Mikael Bjorkbom, Heikki Mesia, Antti Jaatinen, Marko Elo
Summary: This article studies the development of data analytics applications for industrial IoT and the integration of application services on edge and cloud. The solution supports heterogeneous hardware and runtime platforms, and focuses on flexible orchestration of data flows and dynamic service compositions through a unified model and system architecture.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Jyrki Savolainen, Mikkel Stein Knudsen
Summary: This paper discusses the value proposition of a system-level Digital Twin (DT) from a managerial perspective in complex manufacturing processes. It highlights the gap between the vision of digital twin technology and what is currently feasible within existing industrial infrastructure. The research suggests that large system-level DT projects only make managerial sense when certain preliminary conditions are met and fulfilled.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2022)
Article
Automation & Control Systems
Wen Sun, Shiyu Lei, Lu Wang, Zhiqiang Liu, Yan Zhang
Summary: This article proposes a federated learning framework for Industrial IoT based on digital twins, which alleviates the impact of estimation errors caused by digital twins through a trusted aggregation method. The aggregation frequency of federated learning is adaptively adjusted through deep reinforcement learning, and a clustering-based asynchronous federated learning framework is proposed to adapt to the heterogeneity of Industrial IoT.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Multidisciplinary
Duansen Shangguan, Liping Chen, Chang Su, Jianwan Ding, Chan Liu
Summary: With the development of information and communication technology, the cyber-physical system (CPS) has become a trend in products and systems. This paper proposes a triple architecture that integrates the interaction and collaboration among physical objects, digital twins, and humans in their respective worlds to achieve seamless synergy.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Article
Engineering, Manufacturing
Robert Ward, Payam Soulatiantork, Shaun Finneran, Ruby Hughes, Ashutosh Tiwari
Summary: The adoption of Industry 4.0 technologies in the manufacturing and process industries is widely believed to bring benefits such as improved production cycles and system flexibility. Key enablers in Industry 4.0 include Cyber-Physical Systems (CPS) and Digital Twins (DTs). Research suggests that Digital Twin technology lays the foundation for future research and provides a practical testbed for Industry 4.0 research.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2021)
Article
Automation & Control Systems
Shideh Saraeian, Babak Shirazi
Summary: This study proposes a fault tolerance approach based on digital twin to predict and detect fault signatures in distributed systems, and generate appropriate responses. By using Fault Tree Analyzer, Zero-suppressed Decision Diagram, and Support Vector Machine-Adaptive Neuro-Fuzzy Inference System, this method improves the reliability and performance of production systems.
Article
Computer Science, Artificial Intelligence
Ting Yu Lin, Zhengxuan Jia, Chen Yang, Yingying Xiao, Shulin Lan, Guoqiang Shi, Bi Zeng, Heyu Li
Summary: This paper proposes a new mode based on evolutionary digital twin (EDT), which establishes a more precise approximate model through supervised learning and conducts collaborative exploration in multiple cyberspaces through reinforcement learning, bringing more flexibility and adaptability to intelligent industrial products through machine learning.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Computer Science, Information Systems
Marco Pau, Markus Mirz, Jan Dinkelbach, Padraic Mckeever, Ferdinanda Ponci, Antonello Monti
Summary: Modern distribution grids require advanced management methods for secure and reliable operation. The Information and Communication Technology domain offers opportunities for smart design tools for grid operators. The modular architecture of microservices implemented via container technology enables intelligent deployment in Distribution Management Systems and opens up various possibilities.
Article
Computer Science, Information Systems
Charles Steinmetz, Greyce N. Schroeder, Ricardo N. Rodrigues, Achim Rettberg, Carlos E. Pereira
Summary: Digital technologies are changing the way people interact with the world, and Digital Twin is one of the key enablers of Industry 4.0, providing a virtual representation of the real world. It enables new business models, transforming traditional products into services, such as Car-as-a-Service. To build Digital Twin-based systems, well-defined standards for modeling and architecture are necessary, taking into consideration the granularity level of the system.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2022)
Article
Computer Science, Interdisciplinary Applications
Kyu-Tae Park, Yang Ho Park, Moon-Won Park, Sang Do Noh
Summary: This study developed an architectural framework for a cyber-physical production system (CPPS) using a digital twin (DT) to achieve resilience in rechargeable battery production. The proposed framework applies the asset administration shell principles for efficient interoperability and can provide technical functions with high accuracy.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Mingchang Song, Quan Shi, Qiwei Hu, Zhifeng You, Lei Chen
Summary: By analyzing the application status, needs, and existing problems of digital twins in battle damage assessment, the study overcame the technical bottleneck faced by the traditional equipment battle damage assessment method. Based on battle damage tests and research on digital twin technology, the study explored the connotation and application features of digital twinning technology in equipment battle damage assessment. It proposed the architecture, implementation plan, key technology, and realization of digital twin oriented to battle damage test assessment. This study provides theoretical reference and method guidance for the application of digital twins in battle damage assessment, which is of great significance for the development of digital twin battlefield construction and battle damage assessment.
Article
Automation & Control Systems
Yoo Ho Son, Kyu Tae Park, Donggun Lee, Seung Woo Jeon, Sang Do Noh
Summary: The study proposes a digital twin-based cyber-physical system for predicting the feasibility of production plans in automotive body production lines, which was experimentally verified to achieve an average prediction performance of 94.02% for actual production plans. This system provides an advanced solution for predicting production feasibility in automotive manufacturing.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
Angel Biskupovic, Mario Torres, Felipe Nunez
Summary: This work proposes a systematic methodology for synthesizing industrial cyber-physical systems (ICPSs) using a set of industrial agents. The agents utilize standardized process description files to automatically deploy modular ICPSs from predesigned functional containers. Concrete examples are presented to illustrate the potential of the proposed methodology in tanks systems and industrial paste thickeners.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Review
Computer Science, Interdisciplinary Applications
Luca Lattanzi, Roberto Raffaeli, Margherita Peruzzini, Marcello Pellicciari
Summary: Recent advancements in digital technologies have led to a new manufacturing model where digital twins play a crucial role in monitoring and optimizing production processes. Efforts have been made to identify key functionalities, properties, and challenges for implementing digital twins in real factories, with a focus on practical industrial applications. This paper reviews and analyzes the principles, ideas, and technological solutions of digital twins for production processes, while also discussing future directions for further research.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Electrical & Electronic
Davide Borsatti, Gianluca Davoli, Walter Cerroni, Carla Raffaelli
Summary: The combination of Industrial IoT and emerging cloud computing architectures has the potential to revolutionize industrial processes. This potential can be maximized by deploying IoT services near factory premises on demand. An architecture based on the ETSI MEC framework is proposed for the automated deployment of Industrial IoT applications, utilizing edge and fog computing environments. A proof-of-concept implementation shows that transforming Industrial IoT applications into MEC-based services is not only feasible, but can achieve full deployment within seconds.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Interdisciplinary Applications
Kyu Tae Park, Sung Ju Im, Yong-Shin Kang, Sang Do Noh, Yong Tae Kang, Suk Gon Yang
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2019)
Article
Computer Science, Interdisciplinary Applications
Kyu Tae Park, Young Wook Nam, Hyeon Seung Lee, Sung Ju Im, Sang Do Noh, Ji Yeon Son, Hyun Kim
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2019)
Article
Computer Science, Artificial Intelligence
Kyu Tae Park, Jinho Yang, Sang Do Noh
Summary: The paper introduces the concepts of Asset Administration Shell (AAS) and Digital Twin (DT), and proposes Virtual Representation for a Digital twin application (VREDI) to support DT application as a smart factory technology. VREDI is designed to meet four core technical requirements: DT definition, AAS property inheritance, improving existing asset descriptions, and supporting DT-based technical functionalities.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Green & Sustainable Science & Technology
Kyu Tae Park, Donggun Lee, Sang Do Noh
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2020)
Article
Engineering, Industrial
Kyu Tae Park, Yoo Ho Son, Sang Do Noh
Summary: An coordinated cyber physical logistics system (CPLS) is proposed in this study to address supply chain issues in personalized production, with appropriate service composition and operation to deal with supply chain-related problems. The framework utilizes a multi-level CPS structure to provide technical functionalities for resilient SC control.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Automation & Control Systems
Yoo Ho Son, Kyu Tae Park, Donggun Lee, Seung Woo Jeon, Sang Do Noh
Summary: The study proposes a digital twin-based cyber-physical system for predicting the feasibility of production plans in automotive body production lines, which was experimentally verified to achieve an average prediction performance of 94.02% for actual production plans. This system provides an advanced solution for predicting production feasibility in automotive manufacturing.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Kyu-Tae Park, Yang Ho Park, Moon-Won Park, Sang Do Noh
Summary: This study developed an architectural framework for a cyber-physical production system (CPPS) using a digital twin (DT) to achieve resilience in rechargeable battery production. The proposed framework applies the asset administration shell principles for efficient interoperability and can provide technical functions with high accuracy.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Seung-Woo Jeon, Donggun Lee, Seog-Chan Oh, Kyu-Tae Park, Sang-Do Noh, Jorge Arinez
Summary: Manufacturing companies have been striving to increase resource utilization and ensure the flexibility of production lines in response to changing market environments and customer demand. This study models a re-entrant production line as a manufacturing environment and develops an adaptive scheduling system using deep reinforcement learning to improve its operational performance.
Proceedings Paper
Green & Sustainable Science & Technology
Kyu Tae Park, Yang Ho Park, Yun-Hyok Choi, Moon-Won Park, Sang Do Noh
Summary: This article describes the application of digital twin (DT) in rechargeable battery production to meet the core functional requirements and reflect the operational characteristics of stations. The proposed method is verified through analysis and the design of asset description. It can serve as a reference for smart manufacturing technologies in the manufacturing domain in the future.
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SMART MANUFACTURING AND LOGISTICS SYSTEMS: TURNING IDEAS INTO ACTION, APMS 2022, PT II
(2022)
