Article
Engineering, Electrical & Electronic
Gwang Seok Kim, Young Hoon Lee
Summary: The paper explores extending the concept of smart factories from the ship building phase to the ship servicing phase through real examples. It proposes a smart transformation procedure, framework, and architecture for a smart maintenance factory, emphasizing the differences between manufacturing and maintenance. The study presents the transformations through a vessel maintenance depot case and discusses the effects of improvements.
Review
Chemistry, Analytical
Martin Pech, Jaroslav Vrchota, Jiri Bednar
Summary: With the advancement of new technologies in smart factories, automated predictive maintenance is becoming more closely connected to production robotization. Intelligent sensors enable easier data collection, but efficient analysis is crucial to support decision-making and management of complex systems. The review of current literature on predictive maintenance and intelligent sensors in smart factories provides an overview of future research challenges.
Article
Computer Science, Interdisciplinary Applications
Soran Parsa, Mozafar Saadat
Summary: The research proposes a disassembly planning method based on human-robot collaboration, utilizing human flexibility and robot precision to handle complex disassembly tasks and improve process efficiency. Components are targeted based on remanufacturability parameters, and optimization is done using a mathematical model and genetic algorithm.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Automation & Control Systems
Wansong Liu, Xiao Liang, Minghui Zheng
Summary: This article presents a new method for generating task-constrained and collision-free motion for a collaborative robot operating in a dynamic environment involving human movement. The method takes into consideration the high degree of freedom of the corobot and the uncertainty nature of human motion to ensure efficient and safe collaboration.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Chemistry, Multidisciplinary
Davide Brunetti, Cristina Gena, Fabiana Vernero
Summary: This paper provides an overview of smart interactive technologies in the factory setting, with a focus on the visions of Industry 4.0 and 5.0. The importance of designing these technologies with a human-centric approach is emphasized, and guidelines are provided to assist future designers and adopters in making informed choices and implementing user-centric solutions.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Meng-Lun Lee, Sara Behdad, Xiao Liang, Minghui Zheng
Summary: This paper presents a disassembly sequence planning algorithm in the human-robot collaboration setting, taking into account resource and safety constraints. The algorithm aims to minimize the total disassembly time by planning and distributing tasks among the human operator, the robot, and the collaboration. Experimental studies have been conducted to validate the proposed algorithm for the disassembly of a used hard disk drive.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Automation & Control Systems
Haoyang Mao, Zhenyu Liu, Chan Qiu
Summary: This study introduces a method of adaptive disassembly sequence planning for VR maintenance training using deep reinforcement learning. The disassembly process is described using a Disassembly Petri net, and the DSP problem is solved using DQN. The training of DQN is achieved through backpropagation of errors, and the method shows great potential in on-site maintenance with uncertain faults.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Andrea Generosi, Thomas Agostinelli, Silvia Ceccacci, Maura Mengoni
Summary: This paper introduces a web-platform system that performs semi-automatic computation of multiple risk indexes based on specific evaluation methods, to support ergonomic risk estimation and provide augmented analytics. The system utilizes a low-cost marker-less body detection system and open-source deep learning model to ensure worker privacy and data protection. The validation results suggest that the system has good accuracy and efficiency in real industrial scenarios.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Chemical
Jiang Liu, Changshu Zhan, Zhiyong Liu, Shuangqing Zheng, Haiyang Wang, Zhou Meng, Ruya Xu
Summary: This paper proposes a method for solving multi-objective DSP problems in an uncertain environment through stochastic planning. The improved peafowl optimization algorithm (IPOA) is used to efficiently search for optimal or near-optimal solutions. By comparing with real-world industrial case and other advanced algorithms, the superiority of IPOA in solving DSP problems is demonstrated.
Article
Engineering, Industrial
Yongjing Wang, Feiying Lan, Jiayi Liu, Jun Huang, Shizhong Su, Chunqian Ji, Duc Truong Pham, Wenjun Xu, Quan Liu, Zude Zhou
Summary: Remanufacturing involves rebuilding a product using a combination of reused, repaired, and new parts, with disassembly as a key and labor-intensive process. Robotic disassembly is an attractive alternative but still requires manual planning due to the complexity of end-of-life products. The proposed method in this paper allows machines to plan disassembly by generating and manipulating specific matrices, providing a flexible and effective approach for dealing with complex mechanical structures.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Automation & Control Systems
Meng-Lun Lee, Wansong Liu, Sara Behdad, Xiao Liang, Minghui Zheng
Summary: This article presents a disassembly task planning algorithm that considers human-robot collaboration and human behavior prediction. It proposes a sequence planner to assign tasks in real time between a human operator and a robot, overcoming challenges in disassembly tasks and improving efficiency.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Manufacturing
C. Y. Siew, S. K. Ong, A. Y. C. Nee
Summary: This paper presents an adaptive human-machine interface that provides maintenance information and guidance tailored to the expertise level of the operator. By capturing the operator's heart rate, intention, and expertise level through sensors, the system can infer the operator's state and enhance their ability to perceive information and perform tasks through visual, audio, and haptic guidance cues. Various cues are developed based on best practices obtained from experienced operators.
ADVANCES IN MANUFACTURING
(2021)
Review
Business
Naveen Kumar, Seul Chan Lee
Summary: A smart factory in the era of Industry 4.0 adopts new integrated manufacturing technologies and emphasizes the importance of human-machine interfaces (HMIs) for human operators. A systematic literature review (SLR) identified four smart factory functions, 18 tasks, and five interaction modalities, discussing their impact on human operators and offering HMI recommendations for users, designers, and researchers. This study provides insights into the design of HMIs in smart factories.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Artificial Intelligence
Panqi Wu, Huanhe Wang, Bailin Li, Wenlong Fu, Jie Ren, Qiang He
Summary: The study proposes a Simplified Discrete Gravitational Search Algorithm (SDGSA) for optimizing the maintenance process of hydropower equipment (HE). Performance comparison experiments show that SDGSA outperforms other algorithms in solving maintenance tasks with different complexity.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Bin Zhu, Yaqian Zhang, Kai Ding, Felix T. S. Chan, Jizhuang Hui, Fuqiang Zhang
Summary: In this study, a hybrid chance-constrained programming (HCCP) model is developed to solve an MRP problem with hybrid uncertainties. The model measures fuzziness and randomness and solves the problem by converting constraints into deterministic forms. Decision makers can set different confidence levels to obtain different results according to their risk preferences.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Engineering, Manufacturing
S. K. Ong, A. Y. C. Nee, A. W. W. Yew, N. K. Thanigaivel
ADVANCES IN MANUFACTURING
(2020)
Article
Engineering, Industrial
M. M. L. Chang, A. Y. C. Nee, S. K. Ong
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Engineering, Manufacturing
S. K. Ong, X. Wang, A. Y. C. Nee
ADVANCES IN MANUFACTURING
(2020)
Review
Engineering, Industrial
S. K. Ong, M. M. L. Chang, A. Y. C. Nee
Summary: Disassembly sequence planning (DSP) is a challenging research area that has attracted significant attention from researchers worldwide. New solutions are continuously proposed to tackle the complexities of disassembling products, with advancements in computing and introduction of new concepts like virtual reality. Survey papers in the past 12 years have focused on product representation models, sequencing algorithms, and methodology validation in DSP research.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Manufacturing
C. Y. Siew, S. K. Ong, A. Y. C. Nee
Summary: This paper presents an adaptive human-machine interface that provides maintenance information and guidance tailored to the expertise level of the operator. By capturing the operator's heart rate, intention, and expertise level through sensors, the system can infer the operator's state and enhance their ability to perceive information and perform tasks through visual, audio, and haptic guidance cues. Various cues are developed based on best practices obtained from experienced operators.
ADVANCES IN MANUFACTURING
(2021)
Editorial Material
Chemistry, Multidisciplinary
A. Y. C. Nee, S. K. Ong
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Interdisciplinary Applications
F. He, S. K. Ong, A. Y. C. Nee
Summary: The advancement in digitalization and information communication technologies has changed how humans interact with digital information, requiring a reinvention of the way people interact with smart devices to help novice operators comprehend and interact with device data. A mobile augmented reality remote monitoring system is proposed in this research, utilizing cloud-based data analysis and machine learning algorithms to transform knowledge into interactive real-time presentations for users.
Article
Computer Science, Interdisciplinary Applications
Jiazhen Pang, S. K. Ong, A. Y. C. Nee
Summary: This study proposes a stage identification method based on on-site assembly sequence and stage model sequence, which can effectively improve the accuracy and efficiency of assembly stage identification by using time and assembly progress logic.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Manufacturing
Y. K. Liu, S. K. Ong, A. Y. C. Nee
Summary: Digital twin (DT) is a promising emerging technology that leverages big data and IoT to aid various industries in comprehensive monitoring and diagnostics. Despite the lack of standardization in its definition, the interest in DT remains high. Augmented reality (AR) is a suitable technology for data visualization and interaction with DTs.
ADVANCES IN MANUFACTURING
(2022)
Article
Engineering, Industrial
Lei Huang, Yuehong Yin, Soh Khim Ong
Summary: This paper proposes a novel deep generative model based on imaginal thinking to achieve the creative leap from the functional domain to the physical domain, and verifies the effectiveness of the model in designing wheels for mobile robots through an experiment.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Industrial
Hai-Long Xie, Qing-Hui Wang, S. K. Ong, Jing-Rong Li, Zi-Peng Chi
Summary: This paper presents an adaptive intelligent human-robot collaborative approach to improve trajectory planning for robotic belt grinding of complex parts. The approach combines the experience of skilled operators with robots to enhance trajectory planning efficiency and ground surface quality.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Proceedings Paper
Computer Science, Cybernetics
Tom Williams, Daniel Szafir, Tathagata Chakraborti, Ong Soh Khim, Eric Rosen, Serena Booth, Thomas Groechel
HRI'20: COMPANION OF THE 2020 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION
(2020)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)