Review
Chemistry, Multidisciplinary
Filip Rybnikar, Ilona Kacerova, Petr Horejsi, Michal Simon
Summary: Due to the high proportion of manual activities in production processes, there is a constant risk of musculoskeletal disorders or work-related injuries, especially with an ageing working population. European legislation demands improved working conditions to eliminate health risks for workers, leading to a growing application of ergonomics in this field. Motion capture technology provides objective assessment of working postures, which are often the cause of musculoskeletal disorders. This article discusses the research on ergonomics assessment using motion capture technology, emphasizing the need for a combination of existing methods and motion capture technology.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Analytical
Friedrich Niemann, Stefan Luedtke, Christian Bartelt, Michael ten Hompel
Summary: This paper proposes an activity recognition model that explicitly utilizes context information to improve activity recognition performance. The model integrates movement data and context information, and empirical results show that using context information significantly enhances activity recognition performance.
Article
Computer Science, Artificial Intelligence
Ahmed Fathalla, Ahmad Salah, Mahmoud Bekhit, Esraa Eldesouky, Ahmed Talha, Abdalla Zenhom, Ahmed Ali
Summary: In sports science, the need for automation in performance analysis and assessment is urgent. Existing methods, either manual or using motion analysis software, only assess one side of a subject. Therefore, we propose an automated system that can be used for any human movement. The system involves three stages: data collection, joint angle curve extraction, and performance curve summarization. The system's results are identical to expert decisions and suitable for real-time applications.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Ilona Kacerova, Jan Kubr, Petr Horejsi, Jana Kleinova
Summary: This paper presents an innovative method for designing ergonomic workplaces using new technologies such as virtual reality and motion capture. The method is validated using data collected from on-site experiments and comparisons with traditional evaluation methods. The results show the effectiveness of the method and suggest potential areas for further investigation, such as peripheral vision and haptic feedback.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Yingying Wang, Yongzhi Zhang
Summary: This paper explores the real-time evaluation algorithm of human motion in tennis training robots to address the deficiencies in current technology. The research is divided into four parts, including analysis of current technology research, basic theory research, design and implementation of an optimization algorithm, and proving the algorithm's superiority through field tests and investigations. The improved algorithm shows good stability and accuracy in meeting existing tennis training requirements.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Biotechnology & Applied Microbiology
Kun-Do Lee, Hyung-Soon Park
Summary: COVID-19 has led to restrictions on outdoor activities and hospital visits, prompting the emergence of home-based training and rehabilitation coaching systems. By designing wearable skin markers with specific patterns, real-time data processing and accurate pose tracking can be achieved at home. The system has been validated through experiments and shown comparable accuracy to professional reference systems, making it suitable for home use.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Brenda Elizabeth Olivas-Padilla, Alina Glushkova, Sotiris Manitsaris
Summary: Human movement analysis is a significant research area in robotics, biomechanics, and data science. This paper introduces seven datasets recorded using inertial-based motion capture, which provide a foundation for research on human motion modeling, analysis, and generation.
Article
Engineering, Electrical & Electronic
Vatsal Maru, Saideep Nannapaneni, Krishna Krishnan, Ali Arishi
Summary: This paper presents an intelligent cyber-physical system framework that combines image processing and deep-learning techniques to improve production efficiency and ensure human safety in real-time operations. The framework utilizes a CNN-based object detection and control analysis approach, and employs real-time data exchange protocol for communication between the detected objects and the actuation system. The proposed framework is demonstrated in object detection-based pick-and-place operations, which are widely performed in quality control and industrial systems. The paper also discusses the importance of latency in communication and introduces a Bayesian approach for uncertainty quantification to design a reliable communication framework.
Article
Chemistry, Multidisciplinary
Thomas Agostinelli, Andrea Generosi, Silvia Ceccacci, Riccardo Karim Khamaisi, Margherita Peruzzini, Maura Mengoni
Summary: This paper introduces a low-cost and low computational marker-less motion capture system based on the acquisition of frame images through standard RGB cameras. Experimental results suggest that the proposed system can predict angles with good consistency and provide useful evidence for ergonomists.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Liang Gong, Binhao Chen, Wenbin Xu, Chengliang Liu, Xudong Li, Zelin Zhao, Lujie Zhao
Summary: This paper proposes a human-computer interaction method for remotely manipulating life-size humanoid robots by mapping motion capture data to each joint motion angle of the robot. It also introduces a DTW-based trajectory evaluation method to quantitatively evaluate the difference between robot trajectory and human motion. Experimental results demonstrate the feasibility and real-time performance of the control method.
Article
Computer Science, Software Engineering
Deok-Kyeong Jang, Dongseok Yang, Deok-Yun Jang, Byeoli Choi, Taeil Jin, Sung-Hee Lee
Summary: This paper presents a method for real-time motion capture using a single LiDAR sensor. The proposed autoregressive conditional variational autoencoder model learns pose prior knowledge and generates plausible current poses using a feature encoder and a pose generator. Experimental results demonstrate the accuracy of predicted poses and the consideration of temporal coherence across frames.
COMPUTER GRAPHICS FORUM
(2023)
Article
Automation & Control Systems
Shunmei Meng, Weijia Huang, Xiaochun Yin, Mohammad R. Khosravi, Qianmu Li, Shaohua Wan, Lianyong Qi
Summary: This article proposes a security-aware dynamic scheduling method for real-time resource allocation in ICS. A three-level security model is designed for tasks and cloud resources in ICS, and a two-tier heterogeneous cloud architecture is introduced. A security-aware scheduling method based on distributed particle swarm optimization is presented for resource allocation, with a dynamic scheduling mechanism based on dynamic workflow model to address the dynamics of edge resources and mobile industrial applications.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Chemistry, Physical
Hamidreza Mahdavi, Muhammad M. Sadiq, Stefan J. D. Smith, Xavier Mulet, Matthew R. Hill
Summary: Researchers have successfully designed and formed porous liquids (PLs), which have permanent pores instead of transient intermolecular pores found in regular liquids. The combination of porosity and fluidity in PLs has attracted attention due to their unique physicochemical properties. Significant advances have been made in understanding the structure and properties of PLs, with improvements in gas uptake and molecular separation. However, the regeneration and reusability of PLs still need further investigation.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Article
Mechanics
Urbano Lugris, Manuel Perez-Soto, Florian Michaud, Javier Cuadrado
Summary: Optical motion capture is a crucial tool for studying and analyzing human movement. By using an extended Kalman filter, inverse dynamics, and muscle-efforts optimization, it is now possible to calculate and visualize muscle forces and joint-reaction forces in real time, providing valuable insights for motion analysis.
MULTIBODY SYSTEM DYNAMICS
(2023)
Article
Management
Nils Boysen, Stefan Schwerdfeger, Marlin W. Ulmer
Summary: To meet the expectations of demanding customers, there is a trend toward warehouse automation, especially in large e-commerce distribution centers. This paper focuses on robotized sorting systems, where autonomous mobile robots are used to automatically sort products. The paper proposes a sophisticated optimization approach that improves the sortation throughput in real-time conditions, even with limited knowledge of the approaching products.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
Giuseppe Fragapane, Hans-Henrik Hvolby, Fabio Sgarbossa, Jan Ola Strandhagen
Summary: Automating sterile instrument transportation provides a great opportunity to reduce staff responsibilities and time commitment, especially in dynamic environments like hospitals. This study maps the logistics of sterile instruments, evaluates the transportation performance of material handling systems, and provides a strategic fit framework for achieving high performance.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Engineering, Industrial
Mohammed-Amine Abdous, Xavier Delorme, Daria Battini, Fabio Sgarbossa, Sandrine Berger-Douce
Summary: This article introduces a method for considering ergonomics in the design phase of assembly lines. Currently, assembly line workers face challenges related to musculoskeletal disorders and ergonomics problems, which deteriorate the economic condition of production systems. The authors propose a method based on integer linear programming to address the assembly line balancing problem with the consideration of fatigue recovery criteria.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Riccardo Aldrighetti, Daria Battini, Ajay Das, Marco Simonetto
Summary: This study investigates the facilitation of closed-loop supply chain initiatives through industry 4.0 technologies and finds that industry 4.0 technologies have a significant and beneficial moderator effect on the relationship between closed-loop supply chain practices and environmental and social performance, but not on financial performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Serena Finco, Daria Battini, Giuseppe Converso, Teresa Murino
Summary: The paper introduces a methodological framework called SPOZA based on Zero-Inflated Poisson regression to simplify the inventory-level evaluation procedure for items with irregular demand patterns. Through a real-case application, it is shown that SPOZA can reduce inventory costs and perform better, especially when items demand increases.
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING
(2022)
Review
Engineering, Industrial
Marco Simonetto, Fabio Sgarbossa, Daria Battini, Kannan Govindan
Summary: Sustainability issues are driving industries to develop more complex closed loop supply chains (CLSCs) with many risks. The low levels of integration and digitalization in CLSCs limit their benefits for society. This study focuses on the analysis of the benefits of Industry 4.0 technologies in mitigating the operational risks in CLSCs and proposes a conceptual framework and matrix for future managerial initiatives in this domain.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Editorial Material
Engineering, Industrial
Hubert Missbauer, Daria Battini, Alexander Trautrims, Ming-Lang Tseng
Summary: Production Economics focuses on the interface between engineering and economics/management, aiming to improve industrial practice and decision making. It covers a wide range of topics including field fundamentals, inventory management, and production systems design, planning, and control. Managing supply chains, especially inter-firm relationships, adds complexity to the field. Current challenges in industry, such as sustainable development, energy conservation, emerging markets, and digital transformation, are also central to Production Economics research. The field has seen a broadening of research methods, with mathematical modeling, statistical analysis, and experimental and case study research gaining importance. The virtual special issue presents a summary of recent research and hopes to inspire future studies. The founders of the International Working Seminar on Production Economics, Robert Grubbstrom and Hans Hinterhuber, are greatly acknowledged for their contributions to the field.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Engineering, Industrial
Francesco Zangaro, Stefan Minner, Daria Battini
Summary: This paper investigates the Joint Assembly Line Balancing and Feeding Problem (JALBFP) and proposes a heuristic approach and mathematical model to solve it for multi-manned assembly lines. Through numerical studies, the effectiveness of the heuristic approach is validated, and it is found that the JALBFP method can significantly reduce the overall cost compared to the sequential approach.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Daria Battini, Nicola Berti, Serena Finco, Ilenia Zennaro, Ajay Das
Summary: The new Industry 5.0 paradigm aims to facilitate a transition to sustainable and human-centric industry by driving research and innovation. This research adopts a human-centric perspective and proposes a multi-objective job rotation scheduling model to address the challenges brought by diverse workers in the manufacturing context.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Engineering, Industrial
Fabio Sgarbossa, Simone Arena, Ou Tang, Mirco Peron
Summary: Energy systems worldwide are transitioning to more sustainable systems, with hydrogen expected to play a significant role in future energy systems. The planning of hydrogen supply chains is crucial for enabling a sustainable transition, especially when renewable hydrogen is produced through water electrolysis. However, the planning of renewable hydrogen supply chains is complicated due to its diverse production and demand, as well as the various stages and interdependencies involved. Additionally, uncertainties surrounding hydrogen adoption and market development further complicate the planning process. Traditional approaches to supply chain planning are insufficient, necessitating the development of a planning matrix that incorporates the specific characteristics of renewable hydrogen supply chains.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Industrial
Mohammed-Amine Abdous, Xavier Delorme, Daria Battini, Sandrine Berger-Douce
Summary: Manufacturing systems are social-technical systems that involve interactions between humans and technologies in shared workspaces. Collaborative manufacturing systems combine the benefits of human workers and Industry 4.0 technologies and are useful in flexible and adaptable contexts. The key problems in designing these systems are line balancing and equipment selection. We propose a multi-objective approach that optimizes investment costs and ergonomics, and developed a solving algorithm based on epsilon-constraint to achieve a trade-off between these objectives.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Niloofar Katiraee, Martina Calzavara, Serena Finco, Olga Battaia, Daria Battini
Summary: In manual assembly systems, the differences in workers' skills, expertise level, and physical effort perception greatly influence assembly line balancing and system performance. This study proposes a methodological framework and an easy-to-use Assembly Line Worker Assignment and Rebalancing Problem, which considers workers' performance variability, integration of worker-dependent physical exertion constraints, and the possibility of using trainers to assist inexperienced workers. A bi-objective linear programming model is introduced to minimize cycle time and the number of reassigned tasks while integrating new workers with different characteristics. The results obtained from three real cases demonstrate the successful application of the developed model in manufacturing companies to address workforce turnover and skills heterogeneity.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Riccardo Aldrighetti, Daria Battini, Dmitry Ivanov
Summary: Supply chain resilience is crucial in coping with disruptions and can be achieved through network redundancy and process flexibility. This paper introduces a mathematical model for designing an efficient resilience portfolio in a multi-echelon supply chain, which allows for increased resilience at minimal costs. The findings contribute to transforming resilience from a costly expense to a value-creation asset.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Review
Green & Sustainable Science & Technology
Gjulio Ashta, Serena Finco, Daria Battini, Alessandro Persona
Summary: The human-centered workplace design philosophy and the operator 5.0 concepts are being increasingly applied in modern industries to personalize the operators' workplace for better well-being and capabilities. New assistive technologies, such as passive exoskeletons, are gaining interest in manufacturing and logistics systems. This literature review focuses on passive exoskeletons for manufacturing and logistics systems, categorizing their assessment in relation to the tasks they are applied to, providing insights into their performance, efficiency, and cost-effectiveness evaluation, and proposing a maturity heat map for tracking their maturity level.
Editorial Material
Engineering, Industrial
Eric H. Grosse, Fabio Sgarbossa, Cecilia Berlin, W. Patrick Neumann
Summary: Industry 4.0 focused on performance and profit, but failed to address the prosperity of all stakeholders, leading to the introduction of Industry 5.0. Industry 5.0 is a human-centric approach that emphasizes outcomes for humans and promotes the development of resilient and sustainable systems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
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)
