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Article
Automation & Control Systems
Zhenyu Liu et al.
Summary: This article proposes a solution for building a hierarchical control model using Petri nets (PNs) and system of sequential systems with shared resources ((SR)-R-4) nets. The solution includes technologies for smooth transition and bidirectional mapping from virtual prototype to real machine, as well as a software kit for development and monitoring. It has been successfully applied in the development of a chemiluminescence immunoassay (CLIA) analyzer.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Moon Gi Seok et al.
Summary: Smart factories use digital twins to evaluate different production scenarios. This article presents a consistency-checking approach to maintain high-fidelity digital twins by comparing sensed timed events from the physical manufacturing plant with DT-based estimations. The approach targets DTs developed using time colored Petri net (TCPN) and includes methods for building virtual estimates and accelerating SCG evolution.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Chemistry, Multidisciplinary
George Tsinarakis et al.
Summary: This paper introduces a generic methodology for constructing and operating dynamic process models of discrete industrial systems. The methodology covers both offline modeling and simulation applications as well as online digital twin applications. It enables what-if analysis, calculation of key performance indicators, online monitoring, and adjustment of industrial system operations.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Fuwen Hu
Summary: This paper presents a method based on digital twin and information theory for vision-guided autonomous robotic manipulations in smart manufacturing. Experimental results show that this method can increase the adaptability of the robotic system to real-world changes.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Jonas Friederich et al.
Summary: Adoption of digital twins in smart factories can improve productivity and reduce costs and energy consumption. Traditional modeling and simulation approaches are not suitable for rapid transitions and shorter product life cycles. As a solution, we propose a generic data-driven framework that utilizes advancements in machine learning and process mining techniques for automated generation of simulation models, enabling smart factory digital twins.
COMPUTERS IN INDUSTRY
(2022)
Article
Computer Science, Artificial Intelligence
Wenjie Jia et al.
Summary: The digital twin has gained widespread attention in recent years as a key tool for digitalization and intelligence, but has become increasingly complex due to the expanding needs for multi-scale and multi-scenario simulations in reality. This paper proposes a novel modeling method for complex digital twins based on standardized processing of model division and assembly, enabling the construction of intricate digital twin models with effective elements in specific scales and scenarios through information fusion, multi-scale association, and multi-scenario iterations. This approach also allows for rapid development of digital twins through component and code reuse.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Construction & Building Technology
Manuel Chiachio et al.
Summary: This work presents a digital twin framework for structural engineering, emphasizing the autonomous interactions between the physical and digital counterparts and the workflow modelling of the digital twin. The results demonstrate that the digital twin can respond in real-time with self-adaptability to the performance of the physical counterpart and provide automated decision making.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Chengxi Li et al.
Summary: This research proposes a novel multi-robot collaborative manufacturing system that combines augmented reality and digital twin techniques. The system visualizes digital twins of industrial robots and incorporates a multi-robot communication mechanism to enable human-in-the-loop control. Experimental results demonstrate that the system can efficiently handle multi-robot teleoperation tasks and has the potential to be applied in other complex manufacturing scenarios.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Review
Engineering, Manufacturing
Rosario Davide D'Amico et al.
Summary: This paper presents a thematic review of digital twins (DTs) in the context of maintenance, covering the technology used, applications, and limitations. The review includes a systematic literature review of 59 articles on semantic digital twins in maintenance. It provides insights into the evolution of DTs and their characterization for maintenance purposes, proposing an ontological approach to develop DTs and improve maintenance management.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Sebastian Richard Newrzella et al.
Summary: This paper proposes a three-dimensional Digital Twin reference architecture model to address the issues of current Digital Twin architectures in terms of cross-industry character, safety, and privacy. The model can be applied across industries, providing a common platform for practitioners to develop and discuss Digital Twin applications of different complexities and dependability aspects.
Article
Computer Science, Information Systems
Enxhi Ferko et al.
Summary: The concept of digital twin as a virtual instance of physical assets has gained significant attention in both the industrial and software engineering communities. This paper presents a systematic mapping study on architecting digital twins, which reveals a lively field of software architecture for digital twins with an increasing number of proposed solutions.
Article
Engineering, Aerospace
Fuwen Hu
Summary: The stability of flexible fixturing systems is hindered by the incomplete constraint induced by multipoint reconfigurable fixturing and the weak rigidity of thin shell parts. This paper presents a digital twin-based decision-making methodology to generate reconfigurable fixturing schemes by integrating virtual and physical information. The proposed method addresses the location layout issue by considering the time-varying propagation of system stiffness and the coupling effects of multiattribute process parameters.
Article
Engineering, Industrial
Shimin Liu et al.
Summary: High-performance aerospace component manufacturing requires strict quality control, and Digital Twin technology can be used to optimize machining strategies. A Digital Twin modeling method based on biomimicry principles was proposed to adaptively construct a multi-physics Digital Twin of the machining process.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Ali Vatankhah Barenji et al.
Summary: The significant trend in smart manufacturing is industrial digitalization, which combines physical and digital worlds to enable activities like active perception, real-time interaction, and intelligent control. A digital twin-driven approach with agent-based decision-making optimizes motion planning in robotic cells and the manufacturing facility's physical and virtual layers. Qualitative analysis and quantitative comparisons provide valuable insights for manufacturing decisions in the digital twin-driven environment.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2021)
Review
Engineering, Industrial
Mengnan Liu et al.
Summary: Engineering software and digitalized equipment are widely used in the industrial product lifecycle, generating massive data. The concept of digital twin has gained much attention and sparked debates. A comprehensive review of 240 academic publications reveals the research status, key technologies, and industrial applications of digital twin.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Information Systems
Michael Jacoby et al.
Summary: Digital twins (DTs) are digital representations of assets capturing their attributes and behavior, serving as one of the cornerstones of Industry 4.0. Current DT standards are still under development and typically only allow representation by attributes. This paper proposes a new approach for hybrid DTs by intertwining different DT models and demonstrates the implementation of this approach.
Article
Computer Science, Artificial Intelligence
Shohin Aheleroff et al.
Summary: Recent findings show that Digital Twin can provide services to multiple stakeholders, but a sophisticated reference architecture, suitable technologies, and a proper business model are needed. Most studies in the field focus on manufacturing, while empirical research on the relationship between Digital Twin and mass individualization is lacking. The study aims to identify suitable Industry 4.0 technologies and a comprehensive reference architecture model for challenging Digital Twin applications, indicating a significant relationship between Digital Twin capabilities as a service and mass individualization.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Sylvain Chabanet et al.
Summary: This paper explores the use of machine learning metamodels and active learning concepts in industrial settings to improve the efficiency and accuracy of digital simulations, demonstrating the advantages of this approach through a case study and experiments in the sawmilling industry.
COMPUTERS IN INDUSTRY
(2021)
Article
Engineering, Mechanical
Raymond Kim et al.
Summary: Individual manipulators are limited by their vertical total load capacity, while cooperative manipulation with two arms has the potential to increase the net weight capacity of the overall system. The use of a whiffletree system enables robust load sharing between two arms and greatly simplifies cooperative control in dual-arm manipulation.
JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME
(2021)
Article
Chemistry, Analytical
Christian Stary
Summary: This paper proposes using agent-based models to conceptualize behavior-based Digital twins, playing a crucial role in the design and control of CPS. Digital twins offer dynamic adaptation and transparency at design and runtime.
Review
Engineering, Industrial
Jeff Morgan et al.
Summary: This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS) and explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. Key areas reviewed include RMS fundamentals, machine control technologies, and machine intelligence paradigms. The paper establishes a vision for next-generation Industry 4.0 manufacturing machines with Smart and Reconfigurable (SR*) capabilities.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Engineering, Industrial
Feng-Que Pei et al.
Summary: This paper proposes a novel high throughput metrology method for detailed performance analysis in the process quality monitoring and control of the Series Solar Cell Production Line, based on the Digital Twin and Digital Twin Shop Floor model.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Ali Ahmad Malik et al.
Summary: This paper discusses the potential of using digital twin technology to tackle the complexity of human-robot collaborative systems, presenting the forms of digital twins throughout the system's life cycle, their building blocks, and the potential advantages. Recommendations for future research and practice in the field of cobotics are provided.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Chemistry, Multidisciplinary
Kostas Kalaboukas et al.
Summary: Supply chain success relies on agility and resilience to respond to changing trends, with cognitive capabilities to predict and operate flexibly in dynamic environments. Digital twins show promise at the factory level, and cognitive digital twins can play a role in connected and agile supply chains.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Niki Kousi et al.
Summary: This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems, which dynamically updates the digital twin model and combines with artificial intelligence logic to derive alternative configurations of the production system. The application of this approach in the automotive industry is illustrated through a case study.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Matevz Resman et al.
Summary: This study proposes a five-step approach to planning data-driven digital twins of manufacturing systems and processes, guiding users through breaking down the system and processes into fundamental building blocks. The development of digital models includes predefined necessary parameters to connect with a real manufacturing system, enabling control and the creation of a digital twin, with presentation and visualization of system functioning based on the digital twin for different participants in the last step.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Daniel Silva et al.
Summary: IoT data exchange is currently supported by various communication protocols and frameworks, each with its own advantages and disadvantages, often coexisting due to vendor policies. While different protocols are used in different domains, there is no single protocol that outperforms in all scenarios. This work focuses on comparing available solutions and evaluating popular protocols like MQTT, CoAP, and OPC UA in Consumer and Industrial IoT environments. Results show that CoAP achieves the lowest time-to-completion across all scenarios, while OPC UA has higher completion time compared to CoAP or MQTT.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Yassine Qamsane et al.
Summary: Digital Twin (DT) is a newly emerging technology recognized as a crucial element for digital transformation. This paper introduces a methodology for developing DT solutions in manufacturing systems, based on the System Development Life Cycle process and considering specific DT characteristics and manufacturing context. The methodology aims to achieve scalability, reusability, interoperability, interchangeability, and extensibility in DT capabilities.
Article
Computer Science, Artificial Intelligence
Kendrik Yan Hong Lim et al.
JOURNAL OF INTELLIGENT MANUFACTURING
(2020)
Article
Engineering, Aerospace
Yun-Hua Wu et al.
AEROSPACE SCIENCE AND TECHNOLOGY
(2020)
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Computer Science, Artificial Intelligence
A. J. H. Redelinghuys et al.
JOURNAL OF INTELLIGENT MANUFACTURING
(2020)
Review
Computer Science, Interdisciplinary Applications
Yuqian Lu et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2020)
Article
Engineering, Industrial
Gabor Erdos et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2020)
Article
Computer Science, Artificial Intelligence
Wang Duo et al.
IEEE INTELLIGENT SYSTEMS
(2020)
Article
Computer Science, Interdisciplinary Applications
Pai Zheng et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2020)
Article
Chemistry, Analytical
Salvatore Cavalieri et al.
Article
Chemistry, Multidisciplinary
Stavros Souravlas et al.
APPLIED SCIENCES-BASEL
(2020)
Review
Computer Science, Interdisciplinary Applications
Itxaro Errandonea et al.
COMPUTERS IN INDUSTRY
(2020)
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Fedwa Laamarti et al.
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Delia Sepulveda et al.
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Xun Ye et al.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
(2019)
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Qihan Wu et al.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2019)
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Tobias Klamt et al.
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2019)
Article
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Goran D. Putnik et al.
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Fei Tao et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2018)
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Gerald Byrne et al.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2018)
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Robotics
Gen'ichi Yasuda
INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS
(2017)
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Xifan Yao et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2016)
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(2016)
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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
(2013)
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(2011)
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