Article
Engineering, Industrial
Shiqi Fan, Zaili Yang
Summary: This paper develops a new psychophysiological data-driven machine learning method for effective human performance measurement in the maritime sector. The experiments conducted using fNIRS technology and an ANN model comparing experienced and inexperienced seafarers have provided insightful implications and new contributions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Management
Amrou Awaysheh, Markham T. Frohlich, Barbara B. Flynn, Patrick J. Flynn
Summary: This study examines the impact of human errors by front-line supply chain employees on delivery delays, utilizing normal accident theory as a framework. It found that latent conditions can moderate the relationship between errors and delays, with dispatcher errors being more strongly associated with longer delays. The study provides insights for technology management and future research opportunities.
JOURNAL OF OPERATIONS MANAGEMENT
(2021)
Article
Multidisciplinary Sciences
David Menendez, Rebecca E. Klapper, Michelle Z. Golden, Ava R. Mandel, Katrina A. Nicholas, Maria H. Schapfel, Olivia O. Silsby, Kailee A. Sowers, Dillanie Sumanthiran, Victoria E. Welch, Karl S. Rosengren
Summary: Parent-child conversations are crucial in conveying information and shaping beliefs about the COVID-19 pandemic. Parents emphasize the purpose of preventative measures to protect their children and families, while also discussing societal responsibilities in slowing the spread of the virus. Parents of younger children tend to shield them from COVID-19 information, while parents with more knowledge are more likely to provide explanations.
Article
Engineering, Industrial
Luca Podofillini, Bernhard Reer, Vinh N. Dang
Summary: The paper develops a Bayesian Belief Network (BBN) for quantifying aggravating actions in probabilistic safety assessment models. The BBN connects analyst ratings on influencing factors to the error forcing impact of a specific scenario. It presents a novel process for quantifying the BBN parameters, combining functional interpolation method and Bayesian updates.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Geological
Jongook Lee, Michele Barbato, Dong Kun Lee
Summary: This study develops a rockfall risk mitigation method based on reliability concepts and aims to classify rockfall data, model the probability of rockfall occurrence, and estimate the magnitude of risk reduction through mitigation measures. The proposed methodology can be used to compare and quantify rockfall risk for different cut slopes under unmitigated and mitigated conditions.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Article
Engineering, Industrial
Esmaeil Zarei, Faisal Khan, Rouzbeh Abbassi
Summary: This study systematically examines the needs, gaps, and challenges of Human Reliability Analysis (HRA) in the chemical process industries (CPIs). By analyzing human factors in maintenance operations, emergency operations, and control room operations, the study sheds light on the strengths and shortcomings of current literature and identifies research opportunities. A comparison with nuclear power plants (NPPs) is made to better understand the current stage of research and research challenges and opportunities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
M. F. Nazeer Ahamed, M. Mariappan
Summary: The safety performance of the Indian construction industry has led to many accidents due to unsatisfactory implementation. To prevent accidents, all levels of employees must actively participate in safety practices and avoid individual errors. This study adopts a three-dimensional view to investigate human-related errors at different levels of employees, identifying major issues such as lack of personal protective equipment, improper safety training, and poor safety supervision. The study emphasizes the importance of addressing contributing errors from various employee levels to prevent accidents.
Article
Engineering, Industrial
Lin Xie, Mary Ann Lundteigen, Yiliu Liu
Summary: This research introduces a novel method for analyzing how the performance of safety instrumented systems influences the protection against and mitigation of cascading failures, which is verified with a practical case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Health Care Sciences & Services
Alissa L. Russ-Jara, Cherie L. Luckhurst, Rachel A. Dismore, Karen J. Arthur, Amanda P. Ifeachor, Laura G. Militello, Peter A. Glassman, Alan J. Zillich, Michael Weiner
Summary: Research found that healthcare professionals use strategies such as cognitive decentering, collaborative decision-making, back-up behaviors, and contingency planning to coordinate care during medication safety incidents. They encountered barriers including role ambiguity and constraints, breakdowns in care, challenges related to the electronic health record, and factors that increased coordination complexity. HCPs could enhance patient safety with organizational support and address barriers through improvements in work systems.
JOURNAL OF GENERAL INTERNAL MEDICINE
(2021)
Article
Engineering, Civil
Neryvaldo Galvao, Jose C. Matos, Rade Hajdin, Luis Ferreira, Mark G. Stewart
Summary: The ageing of bridges in developed countries and the increase in bridge collapses have highlighted the need for more sophisticated assessment procedures for structural safety. This research aims to quantify the impact of construction errors on the safety of a bridge by considering probabilistic models characterizing the occurrence rate and severity of these errors. The novelty of this paper lies in considering the additional uncertainty of construction errors and using refined numerical methods to estimate the probability of failure more accurately.
ENGINEERING STRUCTURES
(2022)
Article
Engineering, Aerospace
Yingshi Hu, Zhenzhou Lu, Ning Wei, Xia Jiang, Changcong Zhou
Summary: This paper proposes a Kriging surrogate model based method to estimate the safety lifetime of Multi-mode Time-Dependent Structural System (MTDSS). The method utilizes extremum learning function, Advanced First Failure Instant Learning Function (AFFILF), and Candidate Sample Pool (CSP) reduction strategy to accurately and efficiently search for the safety lifetime.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Engineering, Industrial
Ben Hutchinson, Sidney Dekker, Andrew Rae
Summary: This study found that health and safety audits often fail to identify critical deficiencies, with corrective actions mainly focusing on superficial fixes rather than addressing significant operational risks.
Review
Computer Science, Information Systems
Shakeel Ahamad, Ratneshwer
Summary: This review focuses on the performability analysis of safety critical systems, investigating existing approaches, strengths and limitations, challenges, and strategies. Unlike previous studies, it comprehensively examines both performance and reliability factors. The findings will aid scholars and novice researchers in making effective decisions on the performability of SCSs.
COMPUTER SCIENCE REVIEW
(2021)
Review
Chemistry, Physical
Madison West, Ahmad Al-Douri, Kevin Hartmann, William Buttner, Katrina M. Groth
Summary: This article discusses the importance of quantitative risk assessment in the hydrogen energy sector and highlights the current limitations in hydrogen QRA due to the lack of reliability data. The article critically evaluates and analyzes four tools for collecting hydrogen system safety data and provides recommendations for improvement, serving as a reference for adequate reliability data collection for hydrogen systems.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Marine
Xiaofei Ma, Guoyou Shi, Weifeng Li, Jiahui Shi
Summary: In the traditional and extended shipboard operation human reliability analysis (SOHRA) model, the determination of the weight and proportion of each error-producing condition (EPC) tends to rely on subjective judgments of experts, leading to potential inaccuracies in the results and safety measures. This study proposes a novel approach that combines SOHRA, entropy weight method, and the TOPSIS model to address this issue. By applying the entropy weight and TOPSIS method, the weights of EPCs can be accurately determined, and the most probable human errors can be identified. The analysis of a cargo-loading operation from a container ship validates the effectiveness of this model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Industrial
Itay Coifman, Rodger Kram, Raziel Riemer
Summary: This study aimed to quantify the metabolic cost of running with additional leg mass. The results showed that for every 1000 g of added mass per leg, gross metabolic power increased by approximately 16% (foot) and 11% (shank) for females, which was slightly greater than the 11% and 8% increases for males, respectively. For thigh loading, metabolic power only increased by 4% per 1000 g in both sexes.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Itay Coifman, Rodger Kram, Raziel Riemer
Summary: The study analyzed the biomechanical response to running with added leg mass, finding that joint moments and powers were dramatically affected, particularly during the swing phase. However, kinematic changes were only moderate. These findings have implications for shoe designs, individuals using added leg mass for running or strength training, and the design of wearable devices.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Wenxiu Yang, Tingshu Chen, Renke He, Richard Goossens, Toon Huysmans
Summary: This study collected autonomic response data (heart rate and skin conductance) from 30 landmarks in the head, neck, and face of 31 participants experiencing pressure discomfort and pain. The results showed that pressure stimulation can change heart rate and skin conductance, with skin conductance being more useful in assessing pressure discomfort and possessing a faster arousal rate. There were gender differences in subjective pressure thresholds and autonomic responses, but no linear correlation between them. This study has significant implications for resolving ergonomic issues associated with head-related products.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Kai Huang, Guozhu Jia, Qun Wang, Yingjie Cai, Zhenyu Zhong, Zeyu Jiao
Summary: In the era of Industry 5.0, human-centered smart manufacturing (HSM) has emphasized the role of humans in collaboration with machines. This study proposes a method that combines deep learning-based 3D pose reconstruction with rapid entire body assessment (REBA) to assess the risk of work-related musculoskeletal disorders (WMSDs) in HSM. The proposed method improves the accuracy of risk assessment by introducing weights between different risk levels, leading to a precision rate of 99.31% in experiments conducted on an automobile production line.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Jan Healey, Sue Hignett, Diane Gyi
Summary: This study explores the delivery of home care in England and examines the barriers that impact worker performance and whether these barriers affect the quality and safety of care. The findings highlight the importance of an Human Factors and Ergonomics (HFE) systems perspective in understanding and improving home care.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Jule Bessler-Etten, Leendert Schaake, Jaap H. Buurke, Gerdienke B. Prange-Lasonder
Summary: This article investigates the development of discomfort caused by repetitive and prolonged forces exerted through a rigid cuff. The study found that repetitive force application triggers discomfort but generally does not result in pain and there are no significant differences between different repetitive loading patterns. The design and use of exoskeletons should consider comfort thresholds specific to prolonged repetitive loading.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
S. Thuillard, L. Audergon, T. Kotalova, A. Sonderegger, J. Sauer
Summary: This study compared the effects of human-induced and machine-induced social stress on task performance and subjective state. The results showed that social stress did not directly affect performance, affect, or self-esteem, but human-induced social stress impaired perceived justice.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Stephen Dooley, Sunwook Kim, Maury A. Nussbaum, Michael L. Madigan
Summary: The purpose of this study was to investigate the effects of arm- and back-support exoskeletons on reactive balance after slip-like and trip-like perturbations on a treadmill. The study found that the exoskeletons did not significantly increase the probability of failed recovery after the perturbations, but did make balance recovery more challenging. Reactive balance differed when wearing different types and activation states of exoskeletons.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Eirini Balta, Andreas Psarrakis, Argiro Vatakis
Summary: Research has shown that mental workload modulates time perception, making timing behavior a reliable index of cognitive demand. This study tested the timing behavior of air traffic controllers in a real aviation environment under different levels of cognitive load. Results showed significant overestimation of time intervals during the high-load landing phase and greater overestimation when landing two helicopters compared to one.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Kremer Lisanne, Gehrmann Jonathan, Rohrig Rainer, Breil Bernhard
Summary: This study aims to investigate whether eye movement measures are suitable for measuring mental workload in healthcare settings. The results indicate significant differences in both objective and subjective workload measures across different task levels. Additionally, there are indications of overload and fatigue in pupil data.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
John Kang, Stephanie C. Payne, Farzan Sasangohar, Ranjana K. Mehta
Summary: This exploratory longitudinal field study aimed to examine the changes in subjective, performance-based, and physiological fatigue measures over time across different shift types in offshore environments. The findings revealed that workers' performances on the psychomotor vigilance test deteriorated over time across all shift types. The study also found correlations between different multimodal fatigue measures.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Hayoung Jung, Wonsup Lee, Sujin Moon, Heecheon You
Summary: This study measured 12 palmar dimensions to analyze the impact of wrist posture on hand size changes during power grip. The findings showed that hand dimensions decreased significantly during grip, with wrist posture and finger position also exerting significant effects on hand size.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Ido Morag, Avi Parush
Summary: This study indicates that there is a relationship between gender and wayfinding performance, and verbal instructions can influence this relationship. Male participants perform better in terms of accuracy and speed in wayfinding, while females rely more on specific routes. Additionally, applying survey knowledge to females may improve their indoor wayfinding ability.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Junfeng Ma, Yu Wang, Sayali Joshi, Haifeng Wang, Carlton Young, Adam Pervez, Yingge Qu, Shey Washburn
Summary: The U.S. is facing a national nurse shortage, and the application of immersive Virtual Reality technology in nursing education is not fully understood. This study explored the effectiveness and efficacy of immersive Virtual Reality nursing education through a comparative pilot study, and the results showed that the method performed well in terms of effectiveness and efficacy.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
N. Zhang, M. Fard, J. Xu, J. L. Davy, S. R. Robinson
Summary: Driver drowsiness is a significant factor in serious motor vehicle accidents. This study found that specific frequencies of whole-body vibration can induce driver drowsiness and impair attention and driving performance. These findings provide evidence for establishing transportation safety standards.
APPLIED ERGONOMICS
(2024)
