Blockchain-Secured Smart Manufacturing in Industry 4.0: A Survey

Leng, Jiewu; Ye, Shide; Zhou, Man; Zhao, Jindong; Liu, Qiang; Guo, Wei; Cao, Wei; Fu, Leijie

doi:10.1109/tsmc.2020.3040789

Cited by 202 publications

(92 citation statements)

References 133 publications

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“…The current academic literature and industrial practices encompass some recent attempts of applying blockchain within the context of the Industry 4.0 environments, as depicted in Figure 1 , not only to support Cloud Manufacturing, but also for IoT enabled manufacturing and service-oriented manufacturing, such as in [ 22 , 23 , 24 ]. Recent contributions started to focus on Industry 4.0 scenarios [ 25 , 26 ]. For instance, the work in [ 27 ] analyzes the benefits of adopting the blockchain in the automotive industry to support trusted and cyber-resilient information distribution among currently non-collaborative organizations.…”

Section: Blockchain For Collaborative Manufacturing: State-of-the-art and Motivationmentioning

confidence: 99%

Interoperable Blockchains for Highly-Integrated Supply Chains in Collaborative Manufacturing

Bellavista

Esposito

Giannelli

et al. 2021

Sensors

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Blockchain technology plays a pivotal role in the undergoing fourth industrial revolution or Industry 4.0. It is considered a tremendous boost to company digitalization; thus, considerable investments in blockchain are being made. However, there is no single blockchain technology, but various solutions exist, and they cannot interoperate with one each other. The ecosystem envisioned by the Industry 4.0 does not have centralized management or leading organization, so a single blockchain solution cannot be imposed. The various organizations hold their own blockchains, which must interoperate seamlessly. Despite some solutions for blockchain interoperability being proposed, the problem is still open. This paper aims to devise a secure solution for blockchain interoperability. The proposed approach consists of a relay scheme based on Trusted Execution Environment to provide higher security guarantees than the current literature. In particular, the proposed solution adopts an off-chain secure computation element invoked by a smart contract on a blockchain to securely communicate with its peered counterpart. A prototype has been implemented and used for the performance assessment, e.g., to measure the latency increase due to cross-blockchain interactions. The achieved and reported experimental results show that the proposed security solution introduces an additional latency that is entirely tolerable for transactions. At the same time, the usage of the Trusted Execution Environment imposes a negligible overhead.

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Section: Blockchain For Collaborative Manufacturing: State-of-the-art and Motivationmentioning

confidence: 99%

Interoperable Blockchains for Highly-Integrated Supply Chains in Collaborative Manufacturing

Bellavista

Esposito

Giannelli

et al. 2021

Sensors

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“…They will be able effectively and efficiently take their future responsibilities “on-filed” by having a real-prior experience with remote working and management (e.g., via SCADA systems, cloud-based computing, robot control). Besides, the use of blockchain technology must provide a layer that enables enhancing traceability of actions over these platforms and systems, increasing the security of access [ 89 ], and so allowing reducing the utilization costs by facilitating the optimization of resources management [ 90 , 91 , 92 ]. This blockchain-accountable approach must empower sustainable manufacturing, product lifecycle management [ 93 ], and intellectual and industrial property by reinforcing anti-counterfeiting control processes [ 94 ].…”

Section: Discussionmentioning

confidence: 99%

Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era

Benis

Nelke

Winokur

2021

Sensors

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Training the next generation of industrial engineers and managers is a constant challenge for academia, given the fast changes of industrial technology. The current and predicted development trends in applied technologies affecting industry worldwide as formulated in the Industry 4.0 initiative have clearly emphasized the needs for constantly adapting curricula. The sensible socioeconomic changes generated by the COVID-19 pandemic have induced significant challenges to society in general and industry. Higher education, specifically when dealing with Industry 4.0, must take these new challenges rapidly into account. Modernization of the industrial engineering curriculum combined with its migration to a blended teaching landscape must be updated in real-time with real-world cases. The COVID-19 crisis provides, paradoxically, an opportunity for dealing with the challenges of training industrial engineers to confront a virtual dematerialized work model which has accelerated during and will remain for the foreseeable future after the pandemic. The paper describes the methodology used for adapting, enhancing, and evaluating the learning and teaching experience under the urgent and unexpected challenges to move from face-to-face university courses distant and online teaching. The methodology we describe is built on a process that started before the onset of the pandemic, hence in the paper we start by describing the pre-COVID-19 status in comparison to published initiatives followed by the real time modifications we introduced in the faculty to adapt to the post-COVID-19 teaching/learning era. The focus presented is on Industry 4.0. subjects at the leading edge of the technology changes affecting the industrial engineering and technology management field. The manuscript addresses the flow from system design subjects to implementation areas of the curriculum, including practical examples and the rapid decisions and changes made to encompass the effects of the COVID-19 pandemic on content and teaching methods including feedback received from participants.

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“…However, these architectures often rely on proprietary hardware, restricting flexibility and security for future changes and upgrades. On one hand, the security of machining instructions could be enhanced by introducing the blockchain system as a part of the digital twin [58,59]. On another hand, additional capabilities are needed to combine data collected from different sensing modalities.…”

Section: Advanced Perception and Measurementmentioning

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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Blockchain-Secured Smart Manufacturing in Industry 4.0: A Survey

Cited by 202 publications

References 133 publications

Interoperable Blockchains for Highly-Integrated Supply Chains in Collaborative Manufacturing

Interoperable Blockchains for Highly-Integrated Supply Chains in Collaborative Manufacturing

Training the Next Industrial Engineers and Managers about Industry 4.0: A Case Study about Challenges and Opportunities in the COVID-19 Era

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

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