Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing
TL;DR: A novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physicalShop-floor, virtual shop- Floor, shop- floor service system, and shop-ground digital twin data.
Abstract: With the developments and applications of the new information technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era is coming. At the same time, various national manufacturing development strategies have been put forward, such as Industry 4.0 , Industrial Internet , manufacturing based on Cyber-Physical System , and Made in China 2025 . However, one of specific challenges to achieve smart manufacturing with these strategies is how to converge the manufacturing physical world and the virtual world, so as to realize a series of smart operations in the manufacturing process, including smart interconnection, smart interaction, smart control and management, etc. In this context, as a basic unit of manufacturing, shop-floor is required to reach the interaction and convergence between physical and virtual spaces, which is not only the imperative demand of smart manufacturing, but also the evolving trend of itself. Accordingly, a novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physical shop-floor, virtual shop-floor, shop-floor service system, and shop-floor digital twin data. What is more, the operation mechanisms and implementing methods for DTS are studied and key technologies as well as challenges ahead are investigated, respectively.
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TL;DR: A digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology and the future development direction of intelligent Manufacturing is presented.
Abstract: As the next-generation manufacturing system, intelligent manufacturing enables better quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept of sustainability is receiving increasing attention, and sustainable manufacturing is evolving. The digital twin is an emerging technology used in intelligent manufacturing that can grasp the state of intelligent manufacturing systems in real-time and predict system failures. Sustainable intelligent manufacturing based on a digital twin has advantages in practical applications. To fully understand the intelligent manufacturing that provides the digital twin, this study reviews both technologies and discusses the sustainability of intelligent manufacturing. Firstly, the relevant content of intelligent manufacturing, including intelligent manufacturing equipment, systems, and services, is analyzed. In addition, the sustainability of intelligent manufacturing is discussed. Subsequently, a digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology. Finally, combined with the current status, the future development direction of intelligent manufacturing is presented.
253 citations
TL;DR: This paper focuses on the review of DT applications for maintenance, as no previous work has been found with this aim, and both “Digital Twin” and “maintenance” concepts and strategies are described in detail.
223 citations
TL;DR: The definitions, frameworks, major design steps, new blueprint models, key enabling technologies, design cases, and research directions of digital twins-based SMS design are presented and it is expected that this survey will shed new light on urgent industrial concerns in developing new SMSs in the Industry 4.0 era.
218 citations
TL;DR: This study aims at clearly tracing the ongoing research and technical challenges in conceiving and building DTs as well, according to different application domains and related technologies, and tries to answer to the previous questions.
211 citations
Cites background from "Digital Twin Shop-Floor: A New Shop..."
...This has provided a possibility to conduct plans and operations more efficiently and effectively (Tao and Zhang, 2017)....
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TL;DR: To realize reliable predictive maintenance of CNCMT, a hybrid approach driven by Digital Twin (DT) is studied and shows that the proposed method is feasible and more accurate than single approach.
Abstract: As a typical manufacturing equipment, CNC machine tool (CNCMT) is the mother machine of industry. Fault of CNCMT might cause the loss of precision and affect the production if troubleshooting is not timely. Therefore, the reliability of CNCMT has a big significance. Predictive maintenance is an effective method to avoid faults and casualties. Due to less consideration of the status variety and consistency of CNCMT in its life cycle, current methods cannot achieve accurate, timely and intelligent results. To realize reliable predictive maintenance of CNCMT, a hybrid approach driven by Digital Twin (DT) is studied. This approach is DT model-based and DT data-driven hybrid. With the proposed framework, a hybrid predictive maintenance algorithm based on DT model and DT data is researched. At last, a case study on cutting tool life prediction is conducted. The result shows that the proposed method is feasible and more accurate than single approach.
209 citations
References
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01 Jan 2017
TL;DR: Digital twins as discussed by the authors link the physical system with its virtual equivalent to mitigate the problematic issues due to human interaction in the process of creation, production, operations, and disposal of a system.
Abstract: Systems do not simply pop into existence. They progress through lifecycle phases of creation, production, operations, and disposal. The issues leading to undesirable and unpredicted emergent behavior are set in place during the phases of creation and production and realized during the operational phase, with many of those problematic issues due to human interaction. We propose that the idea of the Digital Twin, which links the physical system with its virtual equivalent can mitigate these problematic issues. We describe the Digital Twin concept and its development, show how it applies across the product lifecycle in defining and understanding system behavior, and define tests to evaluate how we are progressing. We discuss how the Digital Twin relates to Systems Engineering and how it can address the human interactions that lead to “normal accidents.” We address both Digital Twin obstacles and opportunities, such as system replication and front running. We finish with NASA’s current work with the Digital Twin.
1,031 citations
TL;DR: There are significant roots generally and particularly in the CIRP community -which point towards CPPSs, and Expectations and the related new R&D challenges will be outlined.
971 citations
"Digital Twin Shop-Floor: A New Shop..." refers background in this paper
...For example, Monostori [6] applies the concept of Cyber-Physical Production System (CPPS), which has the potential to achieve a more decentralized way of functioning and interacting....
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...For example, Monostori [6] applies the concept of Cyber-Physical Production System (CPPS), which has the potential to achieve a more decentralized way...
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TL;DR: A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented and the technical challenges to developing and deploying a Digital Twin are discussed.
Abstract: Reengineering of the aircraft structural life prediction process to fully exploit advances in very high performance digital computing is proposed. The proposed process utilizes an ultrahigh fidelity model of individual aircraft by tail number, a Digital Twin, to integrate computation of structural deflections and temperatures in response to flight conditions, with resulting local damage and material state evolution. A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented. The technical challenges to developing and deploying a Digital Twin are discussed in detail.
681 citations
22 Aug 2011
TL;DR: The concept, architecture, core enabling technologies, and typical characteristics of CMfg are discussed and investigated, as well as the differences and relationship between cloud computing and CMfg.
Abstract: Combining the emerged advanced technologies (such as cloud computing, ‘internet of thing’, virtualization, and service-oriented technologies, advanced computing technologies) with existing advanced manufacturing models and enterprise ‘informationization’ technologies, a new computing- and service-oriented manufacturing model, called cloud manufacturing (CMfg), is proposed. The concept, architecture, core enabling technologies, and typical characteristics of CMfg are discussed and investigated, as well as the differences and relationship between cloud computing and CMfg. Four typical CMfg service platforms, i.e. public, private, community, and hybrid CMfg service platforms, are introduced. The key advantages and challenges for implementing CMfg are analysed, as well as the key technologies and main research findings.
530 citations
"Digital Twin Shop-Floor: A New Shop..." refers background in this paper
...0, Industrial Internet, Made in China 2025, service oriented manufacturing [1], [2] and cloud manufacturing [3], [4]) to prepare for the next...
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TL;DR: In this article, an RFID-enabled real-time manufacturing execution system (RT-MES) is proposed to track and trace manufacturing objects and collect realtime production data.
Abstract: Mass-customization production (MCP) companies must fight with shop-floor uncertainty and complexity caused by wide variety of product components. The research is motivated by a typical MCP company that has experienced inefficient scheduling due to paper-based identification and manual data collection. This paper presents an RFID-enabled real-time manufacturing execution system (RT-MES). RFID devices are deployed systematically on the shop-floor to track and trace manufacturing objects and collect real-time production data. Disturbances are identified and controlled within RT-MES. Planning and scheduling decisions are more practically and precisely made and executed. Online facilities are provided to visualize and manage real-time dynamics of shop-floor WIP (work-in-progress) items. A case study is reported in a collaborating company which manufactures large-scale and heavy-duty machineries. The efficiency and effectiveness of the proposed RT-MES are evaluated with real-life industrial data for shop-floor production management in terms of workers, machines and materials.
424 citations
"Digital Twin Shop-Floor: A New Shop..." refers background in this paper
...build an RFID-enabled real-time manufacturing execution system, which provides more practical planning and scheduling decisions for shop-floor [25]....
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