Industry 5.0: A survey on enabling technologies and potential applications

Digital twins-based smart manufacturing system design in Industry 4.0: A review

Blockchain is a new generation of secure information technology that is fueling business and industrial innovation. Many studies on key enabling technologies for resource organization and system operation of blockchain-secured smart manufacturing in Industry 4.0 had been conducted. However, the progression and promotion of these blockchain applications have been fundamentally impeded by various issues in scalability, flexibility, and cybersecurity. This survey discusses how blockchain systems can overcome potential cybersecurity barriers to achieving intelligence in Industry 4.0. In this regard, eight cybersecurity issues (CIs) are identified in manufacturing systems. Ten metrics for implementing blockchain applications in the manufacturing system are devised while surveying research in blockchain-secured smart manufacturing. This study reveals how these CIs have been studied in the literature. Based on insights obtained from this analysis, future research directions for blockchain-secured smart manufacturing are presented, which potentially guides research on urgent cybersecurity concerns for achieving intelligence in Industry 4.0.

Blockchain-Secured Smart Manufacturing in Industry 4.0: A Survey

Industry 4.0 involves innovations with upcoming digital technologies, and blockchain is one of them. Blockchain can be incorporated to improve security, privacy, and data transparency both for small and large enterprises. Industry 4.0 is a synthesis of the new production methods that allow manufacturers to achieve their target more rapidly. Research has been conducted on various Industry 4.0 technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big data, and Blockchain, and how they could create significant interruptions in recent years. These technologies provide various possibilities in the world of manufacturing and supply chain. Blockchain is a technology that has gained much recognition and can enhance the manufacturing and supply chain environment. Various fields now have fascinating insights into the advantages of blockchain. Several research articles on “Blockchain” and “Industry 4.0″ from Google Scholar, Scopus, and other relevant sources are identified and reviewed for this study. This paper discusses the major potential of Blockchain in Industry 4.0. Various drivers, enablers, and associated capabilities of Blockchain technology for Industry 4.0 are discussed for insights. Different Industry 4.0 spheres/sub-domains for Blockchain technology realisation are also discussed. Finally, we have identified and studied fourteen significant applications of Blockchain in Industry 4.0. It is a range of new developments and hope for immense opportunities that are changing Industry 4.0. This technology would work to achieve amplified outcomes and work individually to enhance the process.

Blockchain technology applications for Industry 4.0: A literature-based review

Big data analytics for intelligent manufacturing systems: A review

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

Blockchain, an emerging paradigm of secure and shareable computing, is a systematic integration of 1) chain structure for data verification and storage, 2) distributed consensus algorithms for generating and updating data, 3) cryptographic techniques for guaranteeing data transmission and access security, and 4) automated smart contracts for data programming and operations. However, the progress and promotion of Blockchain have been seriously impeded by various security issues in blockchain-based applications. Furthermore, previous research on blockchain security has been mostly technical, overlooking considerable business, organizational, and operational issues. To address this research gap from the perspective of information systems, we review blockchain security research in three levels, namely, the process level, the data level, and the infrastructure level, which we refer to as the PDI model of blockchain security. In this survey study, we first examine the state of blockchain security in the literature. Based on the insights obtained from this initial analysis, we then suggest future directions of research in blockchain security, shedding light on urgent business and industrial concerns in related computing disciplines.

Blockchain Security: A Survey of Techniques and Research Directions

Aiming at the order acceptance decision problem of modular production enterprises, a semi Markov decision process-based order acceptance decision model is constructed. The enterprise's production capacity is divided into four independent production units, and each production unit has its daily capacity and total capacity limit. The deep reinforcement learning algorithm is used to explore and learn in the model to maximize the overall revenue when the production capacity and order delivery time are limited. At the same time, it also solves the problem that the state space is complex that the traditional Q-learning algorithm is not competent. The strategy's effectiveness is verified by comparing the trained strategy with First-Come-First-Serve(FCFS) strategy in the same environment.

Man Zhou

Papers

Blockchain-Secured Smart Manufacturing in Industry 4.0: A Survey

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

Blockchain Security: A Survey of Techniques and Research Directions

A deep reinforcement learning algorithm for order acceptance decision of individualized product assembling