Article
Engineering, Industrial
Foivos Psarommatis, Joao Sousa, Joao Pedro Mendonca, Dimitris Kiritsis
Summary: Quality management is crucial for manufacturing companies aiming to increase competitiveness, productivity, profitability, and sustainability. The Industry 4.0 framework has introduced technological advancements that require alternative quality improvement methods, such as Zero-Defect Manufacturing (ZDM), to meet the evolving market demands.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Xiaochen Zheng, Jinzhi Lu, Dimitris Kiritsis
Summary: Digital Twin (DT) is widely applied in various industrial domains for Industry 4.0, requiring integration of multiple relevant DTs to realize the vision. Challenges lie in the complexity of modern industrial systems. The concept of Cognitive Digital Twin (CDT) aims to provide a more intelligent and comprehensive representation of complex systems throughout their lifecycle.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Automation & Control Systems
Nan Yang, Cong Yang, Lei Wu, Xun Shen, Junjie Jia, Zhengmao Li, Daojun Chen, Binxin Zhu, Songkai Liu
Summary: In this article, an expanded sequence-to-sequence (E-Seq2Seq)-based data-driven SCUC expert system for dynamic multiple-sequence mapping samples is proposed. By introducing simple recurrent unit as a neuron in the deep learning model, the proposed approach demonstrates strong generality and high solution accuracy in simulation experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Business
Ronghui Wang, Guofang Nan, Lin Chen, Minqiang Li
Summary: The buy online and pick up in store (BOPS) mode is becoming popular among retailers due to its convenience and added sales revenue. This article examines the pricing strategies of competing dual-channel retailers and explores the impact of market factors on their decisions. The findings suggest that the follower's price may not always be lower, and retailers prefer the BOPS strategy when the fixed costs are low or the cross-selling profits differ significantly. Interestingly, an increase in product return probability or retailer cost can be beneficial to retailers.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Automation & Control Systems
Sangyoon Lee, Dae-Hyun Choi
Summary: This article proposes a novel federated reinforcement learning approach for energy management in multiple smart homes. Using a distributed deep reinforcement learning model, the approach enables the updating and distribution of a global model through interactions between local home energy management systems and a global server, optimizing convergence speed, appliance energy consumption, and the number of agents.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Review
Engineering, Industrial
Kunpeng Li, Jun-Yeon Lee, Amir Gharehgozli
Summary: The globalization of the food industry has made improving efficiency and solving supply chain issues increasingly complex. Blockchain technology shows promise in addressing these challenges by reducing transaction costs and time, increasing transparency, security, and efficiency, as well as establishing trust among participants. This paper introduces major blockchain platforms used in food supply chains and analyzes the benefits and challenges they bring to the food industry. The study demonstrates that blockchain provides unprecedented visibility throughout the food supply chain, improves transaction transparency, food safety, and quality, and reduces food fraud and waste. In addition, it serves as a digital solution for reducing operational costs and improving efficiency in food supply chains.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Automation & Control Systems
Lianyong Qi, Yihong Yang, Xiaokang Zhou, Wajid Rafique, Jianhua Ma
Summary: This article discusses cyber attacks in the logistics network of Industry 4.0 and the proposed novel anomaly detection approach MDS_AD to address the challenges posed by these attacks. MDS_AD combines multiple techniques and performs well in experimental results.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Wen Qi, Hang Su
Summary: This article introduces a multimodal network based on Cybertwin for monitoring ECG patterns during daily activity. The network consists of a cloud-centric architecture and Cybertwin nodes in the edge cloud. A deep convolutional neural network is proposed for human activity recognition to enhance identification accuracy. The network provides healthcare monitoring values and potential clinical medicine.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Industrial
Xiaoping Xu, Mengying Zhang, Guowei Dou, Yugang Yu
Summary: This paper examines a supply chain with a manufacturer, retailer, and online platform in the blockchain era. The adoption of green technology and different operational modes of the platform are considered. The study finds that the network effect plays a significant role in enlarging the potential market size. Furthermore, the paper explores the impact of different supply chain coordination modes on profit distribution.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Giulio Marcucci, Sara Antomarioni, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Summary: The study proposed a conceptual model to investigate the impacts of Industry 4.0 key technologies on performance and resilience in Italian companies. The results indicated that the implementation level of Industry 4.0 IT-related key technologies positively influenced organizational resilience and perceived performance.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Automation & Control Systems
Dezhi Han, Yujie Zhu, Dun Li, Wei Liang, Alireza Souri, Kuan-Ching Li
Summary: This article proposes an auditable access control model based on attribute-based access control for managing private data's access control policy in IoT environments. A blockchain-based auditable access control system is also introduced to ensure data security and auditable access in IoT environments. Experimental results demonstrate high throughput and data security for real application scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Review
Engineering, Industrial
Jayani Ishara Sudusinghe, Stefan Seuring
Summary: This article examines how collaboration can improve sustainability performance in implementing circularity in supply chains, through a systematic literature review and content analysis. The findings suggest that sharing information, penalties and incentives, risk-sharing, and joint product design are important external collaboration practices, while cross-functional coordination and collaboration with government agencies are crucial internal and external collaboration practices. The study also highlights the need to improve social performance in circular supply chains and emphasizes the importance of engaging external parties for managerial understanding and improvement.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Engineering, Industrial
Jiusi Zhang, Yuchen Jiang, Xiang Li, Mingyi Huo, Hao Luo, Shen Yin
Summary: This study proposes an adaptive approach based on Kalman filter and expectation maximum to accurately predict the remaining useful life (RUL) of a single lithium-ion battery without historical data and describe the uncertainty of parameter estimation. Experimental results demonstrate that this method outperforms existing conventional data-driven approaches.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Automation & Control Systems
Xiaokang Zhou, Xuesong Xu, Wei Liang, Zhi Zeng, Shohei Shimizu, Laurence T. Yang, Qun Jin
Summary: This article focuses on the development of a small object detection model for digital twins, aiming to achieve dynamic synchronization and real-time estimation of environmental parameters. By constructing a hybrid deep neural network model and learning algorithm, efficient multi-type small object detection is achieved to facilitate process modeling, monitoring, and optimization in smart manufacturing.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Industrial
Mingyang Zhang, Di Zhang, Shanshan Fu, Pentti Kujala, Spyros Hirdaris
Summary: This paper proposes a predictive analytics method for maritime traffic safety management using the Lempel-Ziv algorithm and TOPSIS. The results show a correlation between traffic flow complexity and the number of maritime accidents, suggesting that higher complexity may lead to more unwanted events.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Review
Engineering, Industrial
Anil Kumar Inkulu, M. V. A. Raju Bahubalendruni, Ashok Dara, SankaranarayanaSamy K.
Summary: The paper discusses the application of human-robot collaboration in manufacturing automation in the Industry 4.0 era, analyzing various HRC techniques and key challenges, and classifying and discussing different modes of collaboration.
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
(2022)
Article
Engineering, Industrial
Yong Zhang, Yuqi Xin, Zhi-wei Liu, Ming Chi, Guijun Ma
Summary: Prognostics and health management (PHM) is crucial for ensuring the reliable operation of industrial equipment. This paper proposes a dual-task network structure that simultaneously evaluates the health status and predicts the remaining useful life of the equipment. The use of bidirectional gated recurrent unit and multigate mixture-of-experts enhances prediction accuracy and efficiency through information extraction and weighted decision making.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Automation & Control Systems
Xin Liu, Jianwei Zhao, Jie Li, Bin Cao, Zhihan Lv
Summary: This article develops a multiobjective convolutional interval type-2 fuzzy rough federated learning (FL) model based on neural architecture search (NAS) for medical data security, using an improved multiobjective evolutionary algorithm. Experimental verification shows that the model can achieve high accuracy while protecting medical data security.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Industrial
Kun Zhou, Jiayu Xu, Guijian Xiao, Yun Huang
Summary: This study proposes a novel high-efficiency, low-damage, and low-abrasive wear processing method for continuous fiber-reinforced ceramic matrix composites. The method combines laser ablation and grinding, resulting in improved grinding performances and surface integrity. The study provides an important method for high-performance processing of ceramic matrix composites components.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Review
Engineering, Industrial
Yiping Gao, Xinyu Li, Xi Vincent Wang, Lihui Wang, Liang Gao
Summary: This paper presents a comprehensive review of recent advances in vision-based defect recognition, providing insights into different methods and their characteristics, advantages, disadvantages, and application scenarios. It also discusses performance metrics and future development trends.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
