Digital Twin-based Production Simulation of Discrete Manufacturing Shop-floor for Onsite Performance Analysis

2020 ◽  
Author(s):  
Y. F. Zhang ◽  
Y. Q. Shao ◽  
J. F. Wang ◽  
S. Q. Li
Keyword(s):  
Performance Analysis ◽  
Shop Floor ◽  
Digital Twin ◽  
Discrete Manufacturing

Digital Twin for Smart Manufacturing: The Practitioner’s Perspective

2020 ◽  
Author(s):  
Maja Bärring ◽  
Björn Johansson ◽  
Goudong Shao
Keyword(s):  
Conceptual Development ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Adoption And Implementation ◽  
New Information ◽  
Digital Twins ◽  
Discrete Manufacturing ◽  
Design Production

Abstract The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.

TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 10
Author(s):  
Qing Hong ◽  
Yifeng Sun ◽  
Tingyu Liu ◽  
Liang Fu ◽  
Yunfeng Xie
Keyword(s):  
Real Time ◽  
Sequence Data ◽  
Network Models ◽  
Human Action ◽  
Practical Significance ◽  
Shop Floor ◽  
Action Detection ◽  
Digital Twin ◽  
Actual Application ◽  
Production Processes

Background: Intelligent monitoring of human action in production is an important step to help standardize production processes and construct a digital twin shop-floor rapidly. Human action has a significant impact on the production safety and efficiency of a shop-floor, however, because of the high individual initiative of humans, it is difficult to realize real-time action detection in a digital twin shop-floor. Methods: We proposed a real-time detection approach for shop-floor production action. This approach used the sequence data of continuous human skeleton joints sequences as the input. We then reconstructed the Joint Classification-Regression Recurrent Neural Networks (JCR-RNN) based on Temporal Convolution Network (TCN) and Graph Convolution Network (GCN). We called this approach the Temporal Action Detection Net (TAD-Net), which realized real-time shop-floor production action detection. Results: The results of the verification experiment showed that our approach has achieved a high temporal positioning score, recognition speed, and accuracy when applied to the existing Online Action Detection (OAD) dataset and the Nanjing University of Science and Technology 3 Dimensions (NJUST3D) dataset. TAD-Net can meet the actual needs of the digital twin shop-floor. Conclusions: Our method has higher recognition accuracy, temporal positioning accuracy, and faster running speed than other mainstream network models, it can better meet actual application requirements, and has important research value and practical significance for standardizing shop-floor production processes, reducing production security risks, and contributing to the understanding of real-time production action.

Assembly performance analysis of reflective optical systems based on digital twin

2021 ◽  
Author(s):  
Wei Wu ◽  
Zhun Deng ◽  
Zirong Luo ◽  
Yuze Xu ◽  
Jianzhong Shang
Keyword(s):  
Performance Analysis ◽  
Optical Systems ◽  
Digital Twin ◽  
Assembly Performance

Digital Twin: Concept of Hybrid Programming for Industrial Robots — Use Case

2019 ◽  
Author(s):  
Vladimir Kuts ◽  
Martinš Sarkans ◽  
Tauno Otto ◽  
Toivo Tähemaa ◽  
Yevhen Bondarenko
Keyword(s):  
Industrial Robot ◽  
Industrial Robots ◽  
Programming Method ◽  
Shop Floor ◽  
Cell Design ◽  
Robotic Cell ◽  
Digital Twin ◽  
Advantages And Disadvantages ◽  
University Of Technology ◽  
Programming Process

Abstract Modern Industrial Robot (IR) programming process is mainly performed by using three different methods — manual, offline, and online programming. Each of these methods has various advantages and disadvantages. Prominent automotive industries often use a combination of them, as there is no way to avoid one or another form of programming on one factory. However, the use of a combination of different programming methods is time-consuming and demands the operator’s presence on site for reconfiguration of the IR. The primary goal of this study is to introduce and test the concept of a hybrid IR programming method, which combines both: offline and online robotic cell design, programming, and re-configuration methods. Testing of this method is based on fully synchronized robotic cell’s Digital Twin (DT), developed in Industrial Virtual and Augmented Laboratory of Tallinn University of Technology. Usage of the virtual replica allows to plan and program robotic cell on the means of telepresence and interfere with the predefined path of the robot by online programming method. Moreover, this approach reduces the time for robotic cell design and re-programming, enables to minimize downtime of the robotic cell on the factory shop floor. Included Virtual Reality (VR) environment allows simulating a full-scale operator presence on site. Thus, the proposed approach supports an immersive and safe environment for the IR and similar equipment programming purposes.

A Digital Twin Concept for Manufacturing Systems

2018 ◽  
Author(s):  
Wesley Ellgass ◽  
Nathan Holt ◽  
Hector Saldana-Lemus ◽  
Julian Richmond ◽  
Ali Vatankhah Barenji ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Virtual Space ◽  
Smart Manufacturing ◽  
Shop Floor ◽  
Digital Twin ◽  
Physical Resources ◽  
Virtual Resources

With the developments and applications of the advanced information technologies such as cloud computing, internet of thing, artificial intelligence and virtual reality, industry 4.0 and smart manufacturing era are coming. In this respect, one of the specific challenges is to achieve a connection of physical resources on the shop floor with virtual resources, for real-time response, real time process optimization, and simulation, which is merged by big data problem. In this respect, Digital Twins (DT) concept is introduced as a key technology, which includes physical resources, virtual resources, service system, and digital twin data. DT considers current condition of physical resource and prediction of future events to make a responsive decision. However, due to the complexity of building a digital equivalent in virtual space to its physical counterpart, very little applications have been developed with this purpose, especially in the industrial manufacturing area. Therefore, the types of data and technology required to build the DT for a manufacturing system are presented in this work, trying to develop a framework of DT based manufacturing system, which is supported by the virtual reality for virtualization of physical resources.

How to Establish Digital Thread Using 3D Factory

2019 ◽  
Author(s):  
Holey Ajay ◽  
Alandikar Shashank
Keyword(s):  
Product Design ◽  
Real Time ◽  
Process Planning ◽  
Manufacturing Process ◽  
Shop Floor ◽  
Manufacturing Facility ◽  
Digital Twin ◽  
Manufacturing Process Planning ◽  
Isolated Systems ◽  
Factory Layout

Abstract In a manufacturing assembly line scenario, factory layout is one of the most crucial information used by manufacturing, facility and factory automation engineers for planning purposes. It is important for manufacturing, facility and operations team to work with most up-to-date layout when product, process and operational information on the shop-floor is constantly changing. There are four elements which governs availability of a real-time layout, these are nothing but Product Design, Manufacturing Process Planning, Layout Planning and Shop-floor. The layout must accommodate these changes coming from product design, process updates and shop-floor modifications on real-time basis so that there is no confusion amongst the stakeholders while referring layout data for their planning purpose. If we talk about the impact on the layout because of product design and process design, it is hardly managed real-time due to the isolated systems to manage these data. The integration of product, process and plant (PPP) is becoming crucial to facilitate collaboration and shrink new product introduction lead time where as real-time update from the shop-floor changes is expected in the era of digital transformation. One of the reasons why the integration of product, process and plant (PPP) does not happen is multiple isolated systems used to maintain this data, there are also challenges to feed data back from the shop-floor because of the non-availability of the thread between these objects. The paper is about how factory layout can be developed integrating product, process and plant (PPP) in a single dynamic environment and establish a digital thread between the product design, manufacturing process planning and factory layout to trigger real-time changes and facilitate digital twin of the factory. The methodology adopted here is to develop bill of material for manufacturing resources and align it with the product data management. This approach not only provides ability to maintain change control over resource objects but also helps in configuration management of the resource bill of material. The resources are grouped together as layout structure for the plant with each object required to manufacture the product. The detailed layout developed for the plant while integrating with product and process is used to establish connection with objects on the shop-floor through sensors and IOT (Internet of Things) devices to form digital twin. Such details added in layout which is So far there are no efforts to digitalize every information on the factory floor and able to generate Digital Twin of the factory by connecting physical objects with the digital objects. Paper will elaborate the approach to establish digital thread between PPP and how this can become foundation to drive digital twin of the factory.

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