Article
Physics, Multidisciplinary
Xin Zheng, Xiaodong Zhang
Summary: Cloud manufacturing systems (CMSs) face great uncertainty and risk, so the authors propose a novel approach combining complex network models with multi-agent simulation to analyze the robustness of CMSs. A case study on a cloud manufacturing project shows that resource nodes with high betweenness are crucial to the robustness of the system, and the CMS can protect its robustness by identifying key servers and strengthening supervision of them.
Article
Computer Science, Interdisciplinary Applications
Xianyu Zhang, Xinguo Ming
Summary: Currently, there is a lack of specific and in-depth research on Smart Manufacturing Information System (SMIS), with a focus on a part of the production system rather than the top-level design of the overall system, leading to insufficient research on the elements and relationships covered by enterprises in the smart manufacturing process. This paper proposes a general reference architecture for SMIS, reveals the implementation path of SMIS, and provides guidance for a case study of SMIS in the automotive manufacturing industry.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Qi Tang, Baotong Wu, Wenbo Chen, Jinyue Yue
Summary: This study proposes a smart manufacturing system based on digital twin technology and the concept of value co-creation, which helps collaborative manufacturing enterprises improve production efficiency, reduce costs, and realize the value of shared supply chain.
Article
Multidisciplinary Sciences
Gengxin Sun, Chih-Cheng Chen, Sheng Bin
Summary: This study investigates the cascading failure of coupling networks with multiple relationships, and finds that increasing the strength of the coupling relationship can significantly improve network robustness.
Article
Physics, Multidisciplinary
Jun Liu
Summary: This paper introduces a new capacity allocation strategy to enhance network robustness by reducing cascading failures without altering the network structure. The new strategy is more effective in scale-free networks compared to the typical strategy proposed in the Motter-Lai (ML) model.
Article
Automation & Control Systems
Xianyu Zhang, Xinguo Ming
Summary: The study emphasizes the need to further expand and study the relationship between the elements of the smart manufacturing framework and specific application scenarios, and provides guidance for enterprises to implement the scheme and steps.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Industrial
Ruimeng Li, Naiding Yang, Hao Yi, Na Jin
Summary: This paper develops a design change risk propagation model with gray attack information based on complex network theory. Four kinds of gray attack strategies are provided and the robustness of the CPD project is analyzed under different gray attacks. The results show that the project is most robust under the small out-degree attack and most vulnerable under the large out-degree attack. Increasing the gray level of information improves the project robustness under large out-degree attack, but reduces it under small out-degree attack under certain circumstances. Parameters sigma and pi have threshold values that keep the project robustness stable.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
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)
Article
Physics, Multidisciplinary
Xingle Gao, Minfang Peng, Chi K. Tse
Summary: This study proposes a novel network-based model to investigate the cascading failure of cyber-coupled power systems. The practical differences between a communication network and a power network are considered, and a practical trip mechanism is derived. The study shows that the thermal memory effect of power lines aggravates the failure propagation, and the robustness of the interdependent system is strongly related to the coupled communication network's tolerance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Liqiao Xia, Yongshi Liang, Pai Zheng, Xiao Huang
Summary: Timely and accurate fault diagnosis is crucial in smart manufacturing to save time and cost. Existing data-driven approaches for equipment fault diagnosis lack consideration of the relationship between equipment knowledge and sensor data. This research proposes a novel Res-HGCN approach that integrates equipment structure and operational mechanisms into a data-driven model, achieving superior fault diagnosis results. This work has the potential to provide valuable insights for other integrated manufacturing scenarios.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Industrial
Adam Szaller, Botond Kadar
Summary: The paper investigates and compares alternative mechanisms for resource sharing in distributed manufacturing, presenting and examining a platform and a direct exchange-based model under the same assumptions. The findings, based on agent-based simulation, can be applied in the design of crowdsourced manufacturing platforms, offering insights into utilization rate, service level, and communication load.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Haihua Yang, Shi An
Summary: This paper utilizes complex network theory to study the robustness of urban public transport, combining bus and subway networks into a composite network, and establishing cascading failure models and passenger flow transfer rules. The research findings help optimize the response of MSCCN to extreme weather.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Mathematics
Prasan Ratnayake, Sugandima Weragoda, Janaka Wansapura, Dharshana Kasthurirathna, Mahendra Piraveenan
Summary: This study introduces a new robustness measure called "fitness-incorporated average network efficiency" to capture the heterogeneity of nodes in complex networks. The measure is applied to networks with different topologies, such as scale-free and Erdos-Renyi random topologies, using a wireless sensor network simulator and two real-world networks, showing its effectiveness in evaluating network robustness.
Article
Engineering, Industrial
Xingjian Lai, Huanyi Shui, Daoxia Ding, Jun Ni
Summary: A systematic approach for bottleneck detection in complex manufacturing systems is proposed, extending a well-recognized algorithm and evaluating several common industrial scenarios including closed loop structures, parallel line structures, and rework loop structures. The methodology is demonstrated with a successful pilot study at an automotive powertrain assembly line, resulting in over 30% gain in Overall Equipment Effectiveness (OEE).
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Engineering, Industrial
Hoda ElMaraghy, Waguih ElMaraghy
Summary: This article introduces a new paradigm called Adaptive Cognitive Manufacturing Systems (ACMS) and its characteristics, including cognitive adaptation. It presents the classification and definitions of four types of adaptability in manufacturing systems. It also discusses human-centric collaboration, the future of work in cognitive adaptive manufacturing systems, and the features and applications of Cognitive Digital Twins (CDT). The presented concepts and technologies make significant contributions to the field of manufacturing systems and provide a roadmap for future research.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Theory & Methods
Zhiting Song, Yanming Sun, Jiafu Wan, Lingli Huang, Yan Xu, Ching-Hsien Hsu
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2019)
Article
Engineering, Multidisciplinary
Jianhua Zhu, Chaoan Lai, Yanming Sun
MATHEMATICAL PROBLEMS IN ENGINEERING
(2019)
Article
Thermodynamics
Jianhua Zhu, Yan Peng, Zhuping Gong, Yanming Sun, Chaoan Lai, Qing Wang, Xiaojun Zhu, Zhongxue Gan
Article
Mathematics, Interdisciplinary Applications
Jianhua Zhu, Yanming Sun
CHAOS SOLITONS & FRACTALS
(2020)
Article
Engineering, Mechanical
Jianhua Zhu, Wanchun Liu, Yonghui Li, Yanming Sun
NONLINEAR DYNAMICS
(2020)
Article
Engineering, Multidisciplinary
Jianhua Zhu, Zhuping Gong, Yanming Sun, Zixin Dou
Summary: This study proposes a prediction model based on chaos analysis and neural networks to predict the reliability of smart manufacturing information systems. By reconstructing failure data in phase space and using neural networks to predict failure behavior, it is found that general machine learning methods cannot accurately predict data with chaotic features.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2021)
Article
Green & Sustainable Science & Technology
Zixin Dou, BeiBei Wu, Yanming Sun, Tao Wang
Summary: This paper examines the recent development trends of manufacturing in G20 countries and analyzes the impact of various factors on sustainable competitiveness, revealing differences between developing and developed countries. Based on the findings, the paper provides suggestions for the sustainable development of manufacturing.
Article
Green & Sustainable Science & Technology
Peng Niu, Yanming Sun, Zhuping Gong
Summary: This study proposed a complex method for predicting anomalies in information systems in equipment manufacturing enterprises, combining phase space reconstruction, singular value decomposition, and neural network technology. The research found that the local nonlinear approach can predict anomaly indices more accurately and reveal underlying issues in enterprise operations.
Article
Physics, Multidisciplinary
Peng Niu, Jianhua Zhu, Yanming Sun
Summary: This study analyzes the cooperative evolutionary mechanism among top management support, employees' technical ability, and informatization performance in the integration of informatization and industrialization (IOII) process in manufacturing enterprises. By establishing a dynamic model and adjusting parameters, a linear controller is designed to manage and control the chaotic system to evolve towards the expected value. The results validate the rationality of the model and effectiveness of the control method, helping managers understand and control chaos in enterprise management.
Article
Environmental Sciences
Fan Yang, Yanming Sun, Yuan Zhang, Tao Wang
Summary: This study analyzes the development trend of the manufacturing industry transformation and upgrading in the Guangdong-Hong Kong-Macao Greater Bay Area from 2008 to 2018. The study identifies key factors and coordinating factors for the transformation and upgrading of the manufacturing industry, and provides suggestions for development.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Environmental Sciences
Zixin Dou, Yanming Sun, Tao Wang, Huiyin Wan, Shiqi Fan
Summary: This study aimed to analyze the development trend of the manufacturing industry in the Guangdong-Hong Kong-Macao Greater Bay Area from 2008 to 2018 by constructing an evaluation system. The results showed differences in technological, economic, and environmental development, and provided four strategies for development in different cities.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Chemistry, Multidisciplinary
Zixin Dou, Yanming Sun, Yuan Zhang, Tao Wang, Chuliang Wu, Shiqi Fan
Summary: This study utilizes a deep learning model to forecast manufacturing industry demand and finds its performance superior to other methods, verifying the reliability of the research. Additionally, it points out that predicting based solely on historical data results in lower accuracy compared to considering multiple factors.
APPLIED SCIENCES-BASEL
(2021)
Review
Computer Science, Information Systems
Zixin Dou, Yanming Sun, Zhidong Wu, Tao Wang, Shiqi Fan, Yuxuan Zhang
Summary: In the era of big data, mass customization systems face complexities with information explosion and management control. Integrating MC systems with Social Internet of Things has become necessary to effectively connect customers with enterprises. This paper describes the system architecture, main technological applications, and lists key issues faced by the MC-SIOT system.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Mathematics, Interdisciplinary Applications
Xiaoli Li, Yanming Sun
Summary: Agricultural supply chain finance effectively addresses farmers' credit constraints, facilitating the commercialization and sustainability of agriculture. However, the rapid spread of farmers' credit default behavior poses a threat to the stability of the agricultural supply chain. This study investigates the diffusion mechanism of default behavior through network evolutionary game modeling, revealing that the type of network plays a crucial role in determining the spread of default behavior.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2022)
Article
Business
Zhiting Song, Yanming Sun, Jiafu Wan, Lingli Huang, Jianhua Zhu
ELECTRONIC MARKETS
(2019)
