التصميم الدولية, Год журнала: 2023, Номер 13(6), С. 407 - 420
Опубликована: Окт. 13, 2023
Язык: Английский
Computers, Год журнала: 2023, Номер 12(11), С. 224 - 224
Опубликована: Ноя. 2, 2023
Industry 5.0 emphasises social sustainability and highlights the critical need for personnel upskilling reskilling to achieve seamless integration of human expertise advanced technology. This paper presents a methodological framework designing personalised training programs that support upskilling, with goal fostering flexibility resilience amid rapid changes in industrial landscape. The proposed encompasses seven stages: (1) Integration Existing Systems, (2) Data Collection, (3) Preparation, (4) Skills-Models Extraction, (5) Assessment Skills Qualifications, (6) Recommendations Training Program, (7) Evaluation Continuous Improvement. By leveraging Large Language Models (LLMs) human-centric principles, our methodology enables creation tailored help organisations promote culture proactive learning. work thus contributes sustainable development workforce, facilitating access high-quality well-being satisfaction. Through food-processing use case, this demonstrates how can identify skill gaps opportunities these insights drive 5.0.
Язык: Английский
Процитировано
17
Applied Ergonomics, Год журнала: 2025, Номер 125, С. 104480 - 104480
Опубликована: Фев. 24, 2025
Язык: Английский
Процитировано
0
Journal of Data Information and Management, Год журнала: 2025, Номер unknown
Опубликована: Апрель 7, 2025
Язык: Английский
Процитировано
0
Ergonomics, Год журнала: 2024, Номер 67(10), С. 1356 - 1370
Опубликована: Фев. 29, 2024
Preventing work-related musculoskeletal disorders (WMSDs) is crucial in reducing their impact on individuals and society. However, the existing mainstream 2D image-based approach insufficient capturing complex 3D movements postures involved many occupational tasks. To address this, an improved deep learning-based rapid entire body assessment (REBA) method has been proposed. The takes working videos as input automatically outputs corresponding REBA score through pose reconstruction. proposed achieves average precision of 94.7% real-world data, which comparable to that ergonomic experts. Furthermore, potential be applied across a wide range industries it demonstrated good generalisation multiple scenarios. offers promising solution for automated accurate risk WMSDs, with implications various ensure safety well-being workers.
Язык: Английский
Процитировано
1
BMC Musculoskeletal Disorders, Год журнала: 2024, Номер 25(1)
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
1
Green Technologies and Sustainability, Год журнала: 2024, Номер unknown, С. 100158 - 100158
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
1
IISE Transactions on Occupational Ergonomics and Human Factors, Год журнала: 2023, Номер 11(3-4), С. 123 - 135
Опубликована: Окт. 2, 2023
Musculoskeletal disorders are prevalent among warehouse workers who engage in repetitive and dynamic tasks. To prevent such injuries, it is vital to identify the factors that influence fatigue upper extremities during these activities. Our study reveals task factors, namely bottle mass picking rate, significantly extremity fatigue. In most cases, indicator a functional variable, meaning score or measurement curve captured over time, which could be modeled as function. this study, we demonstrate data analysis tools, of variance (FANOVA), prove more effective than traditional methods specifying how contribute development extremities. Furthermore, since there inherent differences affect their process, heterogeneity tackled by employing clustering methods.
Язык: Английский
Процитировано
2
IISE Transactions on Healthcare Systems Engineering, Год журнала: 2024, Номер 14(4), С. 346 - 361
Опубликована: Авг. 17, 2024
The liver viability monitoring during its procurement is critical to guarantee the safe transportation. Traditionally, assessed by taking invasive biopsy on surface. Recently, noninvasive thermal images of surface have been used as an alternative assessment way. Researchers proposed and classification approaches based images. Existing works demonstrated importance temporal variation or spatial monitoring. However, there no prior work leverage graph structure spatio-temporal processes for In this paper, we propose a time-vertex signal processing framework irregular data pure region particular, extract features joint Fourier transform (JFT), which integration (GFT) discrete (DFT). extracted JFT can accurately reconstruct with limited number features. Then, use non-parametric online change-point estimation method, scan B statistics, monitor without parametric distribution. Our applied both simulation data, achieves good performance.
Язык: Английский
Процитировано
0
التصميم الدولية, Год журнала: 2023, Номер 13(6), С. 407 - 420
Опубликована: Окт. 13, 2023
Язык: Английский
Процитировано
0