Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems

Leng, Jiewu; Zhou, Man; Xiao, Yuxuan; Zhang, Hu; Liu, Qiang; Shen, Weiming; Su, Qianyi; Li, Longzhang

doi:10.1016/j.jclepro.2021.127278

Cited by 122 publications

(36 citation statements)

References 42 publications

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“…In the paper [107], the authors mentioned that during the COVID-19 pandemic, the costly physical launch of a new production system is hampered by various sanitary constraints. The authors of paper [108] proposed a remote semi-physical launch based on DTs for flow-type intelligent production systems with open architecture. The proposed approach was verified based on a case study.…”

Section: Discussionmentioning

confidence: 99%

How Digital Twin Concept Supports Internal Transport Systems?—Literature Review

et al. 2021

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In the Industry 4.0 era, the Digital Twin has become one of the most promising enabling technologies supporting material flow. Although the literature on the Digital Twin is becoming relatively well explored, including a certain number of review papers, the context of the Digital Twins application in internal transport systems has not been investigated so far. This paper thoroughly reviews the research on the Digital Twins applied in internal transport systems concerning major research trends within this research area and identification of future research directions. It provides clarification of various definitions related to the Digital Twin concept, including misconceptions such as a digital shadow, a digital model, and a digital mirror. Additionally, the relationships between terms such as material handling, material flow, and intralogistics in the context of internal transport systems coupled with the Digital Twin are explained. This paper’s contribution to the current state of the art of the Digital Twins is three-fold: (1) recognition of the most influential and high-impact journals, papers, and researchers; (2) identification of the major research trends related to the Digital Twins applications in internal transport systems, and (3) presentation of future research agendas in investigating Digital Twins applied for internal transport systems.

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Section: Discussionmentioning

confidence: 99%

How Digital Twin Concept Supports Internal Transport Systems?—Literature Review

et al. 2021

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“…Compared to the traditional fixture, planners can clamp the workpiece more clearly and effectively based on the digital twin model. Besides the above studies on the digital twin-based design of modules/components, the commissioning and assembly of whole UPM equipment could be also facilitated by introducing digital twin technology [16]. The captured design and operating data of the full life cycle of UPM equipment can help designers carry out UPM product iteration and design optimization.…”

Section: Digital Twins-based Clamping Module Designmentioning

confidence: 99%

Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review

Leng

2021

Symmetry

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Ultra-Precision Machining (UPM) is a kind of highly accurate processing technology developed to satisfy the manufacturing requirements of high-end cutting-edge products including nuclear energy producers, very large-scale integrated circuits, lasers, and aircraft. The information asymmetry phenomenon widely exists in the design and control of ultra-precision machining. It may lead to inconsistency between the designed performance and operational performance of the UPM equipment on stiffness, thermal stability, and motion accuracy, which result from its design, manufacturing, and control, and determine the form accuracy and surface roughness of machined parts. The performance of the UPM equipment should be improved continuously. It is still challenging to realize the real-time and self-adaptive control, in which building a high-fidelity and computationally efficient digital twin is a valuable solution. Nevertheless, the incorporation of the digital twin technology into the UPM design and control remains vague and sometimes contradictory. Based on a literature search in the Google Scholar database, the critical issues in the UPM design and control, and how to use the digital twin technologies to promote it, are reviewed. Firstly, the digital twins-based UPM design, including bearings module design, spindle-drive module design, stage system module design, servo module design, and clamping module design, are reviewed. Secondly, the digital twins-based UPM control studies, including voxel modeling, process planning, process monitoring, vibration control, and quality prediction, are reviewed. The key enabling technologies and research directions of digital twins-based design and control are discussed to deal with the information asymmetry phenomenon in UPM.

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“…Numerous industrial practices show that IoMT can provide us with the real-time tracking of production processes that suffer from unpredictable and hidden interference. In addition to these real-time on-site tracking information, the digital twin data are more extensive, including process data, such as process route planning; some predictive data, such as the processing time of unprocessed operations predicted by big data technology 7 . In the context of digital twin data, scheduling strategies must be determined to make the production run smoothly.…”

Section: Introductionmentioning

confidence: 99%

Digital twin data-driven proactive job-shop scheduling strategy towards asymmetric manufacturing execution decision

Zhang

Bai

Yang

et al. 2022

Sci Rep

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The information asymmetry phenomenon widely exists in production management decisions due to the latency of manufacturing data transmissions. Also, stochastic events on the physical production site will result in information asymmetry, which may lead to inconsistency between current execution and previous resource allocation plans. It is meaningful and important for developing an information model based on the Internet of Manufacturing Things to timely and actively adjust the scheduling strategy to meet the symmetry requirements of the production execution process. Based on the digital twin data collected from the workshop, a proactive job-shop scheduling strategy was discussed in this paper. Firstly, the mechanism for the influence of delayed local operations on makespan was deduced. Then, a framework for implementing the proactive job-shop scheduling strategy was proposed. Coordination point was used to determine the adjustment interval of local operations; right-shift rule with delay time constraints was used to adjust the unprocessed operation sequences on machines. Finally, the examples including 6*6 (6 jobs, 6 machines) and 20*40 (20 jobs, 40 machines) were presented to verify the effectiveness and scalability of the proposed method. It can be predicted that the proactive scheduling strategy provides the online decisions for the efficient and smooth execution of the digital twin-driven workshop production.

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Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems

Cited by 122 publications

References 42 publications

How Digital Twin Concept Supports Internal Transport Systems?—Literature Review

How Digital Twin Concept Supports Internal Transport Systems?—Literature Review

Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review

Digital twin data-driven proactive job-shop scheduling strategy towards asymmetric manufacturing execution decision

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