Article
Automation & Control Systems
Jiewu Leng, Shide Ye, Man Zhou, J. Leon Zhao, Qiang Liu, Wei Guo, Wei Cao, Leijie Fu
Summary: Blockchain technology is driving business and industrial innovation as a new generation secure information technology, but its applications in Industry 4.0 are facing challenges such as scalability, flexibility, and cybersecurity issues. This study discusses cybersecurity issues in manufacturing systems and proposes metrics for implementing blockchain applications, providing insights for future research directions in blockchain-secured smart manufacturing.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Chemical
Aleksandar Sofic, Slavko Rakic, Giuditta Pezzotta, Branko Markoski, Veronica Arioli, Ugljesa Marjanovic
Summary: This paper investigates the smart and resilient transformation of manufacturing firms by focusing on the application of digital services. The results show that applying an adequate combination of services and digital technologies has the highest impact on the network of manufacturing firms, and the application of digital technologies increases the gross annual turnover of manufacturing firms. To achieve a successful transformation, manufacturing firms need to develop a profit-oriented strategy and motivation.
Article
Computer Science, Interdisciplinary Applications
Francesco Lupi, Mario G. C. A. Cimino, Tomaz Berlec, Federico A. Galatolo, Marko Corn, Nejc Rozman, Andrea Rossi, Michele Lanzetta
Summary: Today's globalized markets require resilient and agile manufacturing systems with customized and virtualized features. Classical self-standing manufacturing systems are evolving into collaborative networks such as Cloud Manufacturing or Shared Manufacturing as solutions to ensure business continuity. Additive Manufacturing (AM) is a promising technology for innovative production models in Industry 4.0, and this paper proposes a mechanism for sharing workload and resources using AM technology to increase adaptivity. The use of smart contracts and blockchain technology provides decentralized, transparent, and trusted operation in these systems, increasing resilience to disruptive factors.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Review
Engineering, Industrial
Jiewu Leng, Yuanwei Zhong, Zisheng Lin, Kailin Xu, Dimitris Mourtzis, Xueliang Zhou, Pai Zheng, Qiang Liu, J. Leon Zhao, Weiming Shen
Summary: Manufacturers are realizing the importance of system resilience and considering the use of Decentralized Autonomous Organization (DAO) to achieve decentralized autonomous manufacturing and resilient Industry 5.0 vision. This paper reviews the literature on Decentralized Manufacturing (DM) and Autonomous Manufacturing (AM), and proposes a manufacturing paradigm called Decentralized Autonomous Manufacturing (DAM). Future research directions and challenges of DAM are highlighted.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Computer Science, Information Systems
Lingling Guo, Qingfu Liu, Ke Shi, Yao Gao, Jia Luo, Jingjing Chen
Summary: The emergence of electronic contracts has improved the efficiency of contract management, but concerns about security risks remain. By introducing Blockchain technology, a process-oriented contract management system was developed to address security issues existing in traditional electronic contract systems.
Review
Construction & Building Technology
Denis J. Scott, Tim Broyd, Ling Ma
Summary: The first academic publications on blockchain in construction emerged in 2017, and by early 2021, there were 121 documents on the topic. These publications identified 33 application categories of blockchain in construction, organized into seven subject areas, providing a comprehensive overview and valuable insights for future research.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Shohin Aheleroff, Naser Mostashiri, Xun Xu, Ray Y. Zhong
Summary: The Fourth Industrial Revolution is driving mass personalisation as an emerging manufacturing paradigm, focusing on uniquely made products for individuals at scale. This paper introduces Mass Personalisation as a Service (MPaaS) concept and presents a case study on personalized face mask production. Personalisation in manufacturing is crucial for avoiding health issues.
ADVANCED ENGINEERING INFORMATICS
(2021)
Review
Engineering, Industrial
Jeff Morgan, Mark Halton, Yuansong Qiao, John G. Breslin
Summary: This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS) and explores the state-of-the-art in distributed and decentralized machine control and machine intelligence. Key areas reviewed include RMS fundamentals, machine control technologies, and machine intelligence paradigms. The paper establishes a vision for next-generation Industry 4.0 manufacturing machines with Smart and Reconfigurable (SR*) capabilities.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Review
Computer Science, Interdisciplinary Applications
Hector Canas, Josefa Mula, Manuel Diaz-Madronero, Francisco Campuzano-Bolarin
Summary: This article focuses on the advances, advantages, limitations, requirements, and methodologies in implementing the strategic Industry 4.0 (I4.0) initiative, particularly in the field of production planning. It proposes a taxonomy of I4.0 design terms and presents models, algorithms, and components used in an I4.0 setting.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Agriculture, Multidisciplinary
Faisal Jamil, Muhammad Ibrahim, Israr Ullah, Suyeon Kim, Hyun Kook Kahng, Do-Hyeun Kim
Summary: The Internet of Things (IoT) has been widely adopted in various smart applications. Lately, the greenhouse industry has gained attention for its ability to produce fresh agricultural products. However, labor and energy costs increase production costs. Additionally, ensuring the security and authenticity of agricultural data is a challenging problem. In this study, a blockchain-enabled optimization approach for greenhouse systems is proposed, which improves energy consumption and optimizes the greenhouse environment through prediction, optimization, and control. Experimental results show the effectiveness of the proposed system.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Computer Science, Information Systems
Vimal Dwivedi, Alex Norta, Alexander Wulf, Benjamin Leiding, Sandeep Saxena, Chibuzor Udokwu
Summary: Blockchain and smart-contract technologies enhance the efficiency and automation of business processes. The development of decentralized autonomous organizations (DAO) shows potential for reforming business and society, emphasizing the importance of legal and business semantics in drafting legally-binding smart contracts within DAO collaborations.
Article
Business
Benjamin Meindl, Nestor Fabian Ayala, Joana Mendonca, Alejandro G. Frank
Summary: The literature on Industry 4.0 has grown exponentially in the past decade, mainly focusing on Smart Manufacturing. While attention to other smart dimensions is increasing, Smart Working remains an underexplored area with plenty of opportunities for future research. Research opportunities are concentrated at the interfaces between different smart dimensions, supporting Industry 4.0 as a concept transcending the Smart Manufacturing field and creating opportunities for synergies with other related fields. Scholars can use these findings to understand journal orientations and identify gaps for future research.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Engineering, Industrial
Rok Vrabic, John Ahmet Erkoyuncu, Maryam Farsi, Dedy Ariansyah
Summary: Digital twins offer the potential for improved understanding of manufacturing processes, but their robustness and resilience remain challenges. This paper proposes an intelligent agent-based architecture to enhance the robustness and resilience of digital twins, demonstrating its effectiveness in a case of cryogenic secondary manufacturing.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Mohammed Balfaqih, Zain Balfagih, Miltiadis D. Lytras, Khaled Mofawiz Alfawaz, Abdulrahman A. Alshdadi, Eesa Alsolami
Summary: This paper proposes a blockchain-enabled IoT logistics system for efficient tracking and management of high-price shipments. It ensures the security and reliability of logistics information through smart contracts and zero-knowledge proof, while utilizing intelligent parcels for tracking and violation detection.
Review
Engineering, Industrial
Ting Zheng, Marco Ardolino, Andrea Bacchetti, Marco Perona
Summary: Research on Industry 4.0 has primarily focused on the effects in smart factory production scheduling, with a lack of comprehensive study on the applications of I4.0 enabling technologies in manufacturing life-cycle processes. The results indicate a strong emphasis on production scheduling and control, along with a rising trend in servitization and circular supply chain management.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Industrial
Hao Zhang, Shaowen Yao, Qiang Liu, Lijun Wei, Libin Lin, Jiewu Leng
Summary: This paper studies the constrained two-dimensional guillotine cutting problem with defects and proposes a recursive dynamic programming approach to solve it. The experimental results demonstrate the effectiveness and superiority of the proposed method.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Hui Fu, Tuo Zhao, Yanghang Chen, Yipeng Yao, Jiewu Leng
Summary: This paper introduces a new form of smart freeway system that utilizes advanced information and communication technologies to achieve more sustainable objectives. By taking advantage of the digital twin concept, the physical and cyber systems can interact in near-real-time. The paper discusses the framework, operation, and enabled technologies of the digital twin smart freeway (DTSF), and presents a case study to demonstrate the efficiency of the proposed freeway control strategy.
IET INTELLIGENT TRANSPORT SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Ding Zhang, Jiewu Leng, Min Xie, Hong Yan, Qiang Liu
Summary: This paper proposes a Digital Twin (DT) enabled reconfiguration framework to address the rapid response to customer demands and cost savings. The framework supports both physical and virtual reconfigurations through an open architecture and generalized knowledge encapsulation technique. The dynamic performance is evaluated using the max-plus semiring. An optimal reconfiguration algorithm is proposed to solve the optimization problem of order scheduling, line balancing, and buffer allocation. The efficiency and optimization approach are verified using a smartphone assembly line.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Engineering, Industrial
Haoqi Wang, Lindong Lv, Xupeng Li, Hao Li, Jiewu Leng, Yuyan Zhang, Vincent Thomson, Gen Liu, Xiaoyu Wen, Chunya Sun, Guofu Luo
Summary: Safety management is crucial for human-centered manufacturing in Industry 5.0, but there are three challenges to bridge the gap between current workshop safety management and the desired requirements. To address these challenges, a reasoning approach using Digital Twin is proposed, which includes a machine-readable semantic reasoning framework, modeling of unsafe states ontology, and the construction of a high-fidelity virtual Digital Twin Workshop. The approach is validated through an experiment and shows promising results.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Engineering, Mechanical
Guiming Liang, Haiyan Li, Yunbao Huang, Lan Liu, Jinliang Lin, Xin Chen, Weibin Qiu
Summary: In this paper, a multilevel sampling based sparse polynomial chaos approach is proposed for efficient uncertain analysis of mechanical systems. The approach approximates the dynamic responses using sparse polynomial chaos expansion, reduces the number of sampling points and deterministic systems. The multilevel sampling strategy weakens the Restricted Isometry Property condition and reduces the motion equations for efficient and accurate dynamic responses.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Multidisciplinary
Libin Lin, Lijun Wei, Ting Liu, Hao Zhang, Peihua Qin, Jiewu Leng, Ding Zhang, Qiang Liu
Summary: This article proposes a hierarchical and two-stage framework to address the problem of workstation work overload in mixed-model assembly lines. By using utility workers and considering the workers' health and ergonomic risk, the work overload is effectively managed. The optimization goals are to minimize the number of workstations and utility workers. Furthermore, an iterated greedy algorithm is integrated into a genetics algorithm to achieve global exploration and local exploitation. A divide-and-conquer strategy is also proposed to solve large-scale problems. Experimental results demonstrate the effectiveness of the proposed mechanism in this article.
ENGINEERING OPTIMIZATION
(2023)
Article
Computer Science, Artificial Intelligence
Libin Lin, Ting Liu, Hao Zhang, Jiewu Leng, Lijun Wei, Qiang Liu
Summary: This paper proposes a bilevel improved multi-operator differential evolution algorithm (BL-IMODE) for bilevel optimization, which uses the knowledge transfer and adaptive coordinate systems approach. Experimental results show that BL-IMODE has a significant advantage over other algorithms on three benchmark problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Pan Xiao, Shule Yan, Jinliang Long, Jianfa Lin, Meng Xiao, Nian Cai, Xindu Chen, Jiewu Leng
Summary: An adaptive coarse-to-fine framework is proposed for the automatic first-article inspection of flexographic printing labels (FPLs) based on design drawings. The framework achieves better inspection performance for FPLs than other methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Automation & Control Systems
Lanyu Zhang, Jian Gao, Yun Chen, Xin Chen, Yunbo He
Summary: The chip precision bonding operation is usually achieved by a voice-coil-motor (VCM) which provides large-stroke high-speed and high-acceleration movement. However, the inertial vibration during decelerating positioning may impact the chip. To achieve gentle contacting, the VCM soft-landing method is commonly used, which starts a low-speed uniform motion after the bonding system stabilizes. In this study, a high-efficiency searching time reduction (HSTR) method is proposed to minimize the time consumed in the searching area and speed up the VCM soft-landing without affecting the gentle contacting.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Plant Sciences
Hong-Qing Wang, Sheng-Tian Lai, Jian-Bo Liu, Hong-Jie Shao, Ruo-Yun Chen, Jie Kang
Summary: Two new baccharane triterpenes were isolated from Rhus chinensis Mill and their structures were determined using various spectroscopic and analytical techniques.
JOURNAL OF ASIAN NATURAL PRODUCTS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Jiewu Leng, Zisheng Lin, Zhiqiang Huang, Ruijun Ye, Qiang Liu, Xin Chen
Summary: With the development of simulation technology, more and more manufacturers are using digital twins to design workshops and factories. This paper proposes a rapid simplification approach for 3D geometry models of mechanisms in the context of digital twin-driven manufacturing system design, improving rendering efficiency by reducing computational complexity and preserving shape features.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Automation & Control Systems
Jiewu Leng, Xiaofeng Zhu, Zhiqiang Huang, Kailin Xu, Zhihong Liu, Qiang Liu, Xin Chen
Summary: This article proposes a blockchain-based smart contract system (BSCS), named ManuChain II, to achieve resilience in Industry 5.0. The BSCS can prevent tampering with data and enhance the transparency of the product manufacturing process. By incorporating decentralized deep learning algorithms into blockchained smart contracts, the study reveals a new way to realize the self-organizing intelligence of the manufacturing system for enhancing resilience toward Industry 5.0.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Rongli Zhao, Zeren Bao, Wanyu Xiao, Shangwen Zou, Guangxin Zou, Yuan Xie, Jiewu Leng
Summary: With the automation of mobile phone assembly, industrial robots are now used in production lines for loading and unloading operations. Currently, industrial robots are primarily used in online teaching mode, which requires pre-set movement and path and repeating point-to-point operation. To address the poor adaptability of loading robots to different products in mobile phone assembly lines, this study proposes a highly adaptive grasping and positioning method for vision-guided right-angle robots.
