Digital twin and blockchain enhanced smart manufacturing service collaboration and management

2020 ◽  
Author(s):  
Fei Tao ◽  
Yongping Zhang ◽  
Ying Cheng ◽  
Jiawei Ren ◽  
Dongxu Wang ◽  
...  
Keyword(s):  
Smart Manufacturing ◽  
Digital Twin ◽  
Service Collaboration

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.

Digital Twin for rotating machinery fault diagnosis in smart manufacturing

2018 ◽  
Vol 57 (12) ◽  
pp. 3920-3934 ◽  
Author(s):  
Jinjiang Wang ◽  
Lunkuan Ye ◽  
Robert X. Gao ◽  
Chen Li ◽  
Laibin Zhang
Keyword(s):  
Fault Diagnosis ◽  
Rotating Machinery ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Machinery Fault Diagnosis

Smart manufacturing based on Digital Twin technologies

Industry 4.0 ◽  
2020 ◽  
pp. 77-122 ◽  
Author(s):  
Shohin Aheleroff ◽  
Jan Polzer ◽  
Huiyue Huang ◽  
Zexuan Zhu ◽  
David Tomzik ◽  
...  
Keyword(s):  
Smart Manufacturing ◽  
Digital Twin

scholarly journals A review of smart manufacturing reference models based on the skeleton meta-model

2020 ◽  
Vol 7 (3) ◽  
pp. 323-336 ◽  
Author(s):  
Soonhung Han
Keyword(s):  
Reference Model ◽  
Smart Manufacturing ◽  
Meta Model ◽  
Reference Models ◽  
Digital Twin ◽  
Dimensionality Analysis

Abstract Standards will allow interoperability among stakeholders in the upcoming super-connected world. A smart manufacturing reference model (SMRM) is under development inside JWG21 between ISO and IEC. Based on a dimensionality analysis and the skeleton meta-model, the eight proposed SMRMs are reviewed and compared. The SMRMs are classified according to the number of lifecycle axes and the number of dimensional axes. Also, how the concept of a digital twin can be accommodated in an SMRM is investigated.

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.

Digital-Twin-Based Job Shop Scheduling Toward Smart Manufacturing

2019 ◽  
Vol 15 (12) ◽  
pp. 6425-6435 ◽  
Author(s):  
Yilin Fang ◽  
Chao Peng ◽  
Ping Lou ◽  
Zude Zhou ◽  
Jianmin Hu ◽  
...  
Keyword(s):  
Job Shop ◽  
Job Shop Scheduling ◽  
Smart Manufacturing ◽  
Shop Scheduling ◽  
Digital Twin
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