Review
Engineering, Industrial
Lorenzo Ciani, Giulia Guidi, Gabriele Patrizi
Summary: This paper analyzes the current state of human reliability analysis (HRA) in railway engineering from 2000 to August 2021. It reveals a significant increase in interest in HRA in the railway field. However, most of the existing literature focuses on the analysis of railway accidents and the improvement of existing methods from other fields, rather than proposing innovative HRA methods specifically developed for railways.
Article
Engineering, Industrial
Jianqiao Liu, Yanhua Zou, Wei Wang, Enrico Zio, Chengwei Yuan, Taorui Wang, Jianjun Jiang
Summary: This study proposes a Bayesian Belief Network framework for structuring the uncertain dependencies among Performance Shaping Factors (PSFs) and estimate the Human Error Probabilities (HEPs) in the context of Nuclear Power Plants (NPPs). The framework utilizes Exploratory Factor Analysis to cluster dependent PSFs and Monte Carlo sampling to account for uncertainty. The results show both steady and situation-dependent dependencies among PSFs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Jianqiao Liu, Yanhua Zou, Wei Wang, Li Zhang, Xueyang Liu, Qianqiao Ding, Zhuomin Qin, Marko Cepin
Summary: This research aims to use a system dynamics approach to model and analyze the dependencies of performance shaping factors (PSFs) in risk analysis for improved estimation of human error probabilities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Vincent P. Paglioni, Katrina M. Groth
Summary: This paper explores the concept of dependency in human reliability analysis (HRA) and proposes a standardized library of key terms and mathematics to lay the foundation for the development of a dependency framework.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
C. M. La Fata, L. Adelfio, R. Micale, G. La Scalia
Summary: Since the 1970s, Human Reliability Analysis (HRA) methods have been applied to quantifying the Human Error Probability (HEP) in Nuclear Power Plants (NPPs). The second-generation HRA methods consider Performance Shaping Factors (PSFs) that may influence workers' performance. However, few studies focus on the manufacturing sector, and most contributions assume independence among PSFs, leading to potential estimation issues. This paper proposes a Fuzzy DEMATEL (FDEMATEL) based method to analyze PSF interrelationships and importance in the manufacturing sector, and demonstrates its application in an Italian textile company.
Article
Engineering, Electrical & Electronic
Ales Janota, Rastislav Pirnik, Juraj Zdansky, Peter Nagy
Summary: This paper focuses on analyzing human errors in the railway domain. Using human reliability analysis, we can compare the workload and human reliability of operators in railway traffic control systems with different degrees of automation.
Article
Computer Science, Information Systems
Lorenzo Ciani, Giulia Guidi, Gabriele Patrizi, Diego Galar
Summary: Human factor is one of the main causes of railway accidents. The RARA method for railway applications faces challenges such as subjectivity and difficulty in parameter evaluation. The innovative fuzzy method introduced in this manuscript simplifies parameter evaluation, reduces analyst subjectivity, and provides more compliant results with a simpler and more intuitive approach.
Article
Engineering, Industrial
Yunfei Zhao
Summary: This research proposes a Bayesian approach for comparing human reliability analysis methods, utilizing ensemble modeling to output predictions of human error probability and updating weights using Bayes' rule. The results show that posterior beliefs vary depending on the dataset used.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Automation & Control Systems
Hua Shi, Jing-Hui Wang, Ling Zhang, Hu-Chen Liu
Summary: Because human errors are the main cause of accidents in safety-critical industries, human reliability analysis (HRA) is crucial for improving the reliability of complex engineering systems. However, assessing human errors is challenging due to uncertainty in state evaluation information, multiple common performance conditions (CPCs), and their correlations. This paper proposes a new cognitive reliability and error analysis method (CREAM) that integrates linguistic D numbers and the decision-making trial and evaluation laboratory-based analytic network process (DANP) method to quantitatively analyze human errors.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Review
Nuclear Science & Technology
Lin-Xiu Hou, Ran Liu, Hu-Chen Liu, Shan Jiang
Summary: Human reliability analysis (HRA) is a systematic technique used to assess human systematic risk in various industries. This article provides a bibliometric overview and visualization of the HRA field based on the analysis of 271 publications from 2009 to 2020. The results offer valuable information on current situations, hotspots, and future development trends in the HRA area.
ANNALS OF NUCLEAR ENERGY
(2021)
Article
Engineering, Chemical
Tob R. de Albuquerque, Jose de Jesus R. Oliva, Pedro L. C. Saldanha, Pauli Adriano A. Garcia
Summary: The crew of a nuclear-powered submarine under development in Brasil plays a crucial role in its safety. However, there is a lack of information on how to reduce human error probability (HEP) in the literature. This study proposes a methodology to evaluate the contribution of performance shaping factors (PSFs) to HEP, aiming to identify the main contributors and improve human performance.
PROCESS SAFETY PROGRESS
(2023)
Article
Engineering, Mechanical
Manuel Leite, Mariana A. Costa, Tiago Alves, Virginia Infante, Antonio R. Andrade
Summary: This study focuses on the locomotive bogie and proposes a Discrete Event Simulation (DES) model to analyze its impact on the system's reliability and availability under different scenarios. The results show that the model effectively represents the main characteristics of the bogie subsystem and identifies critical parameters and components for reliability and availability fluctuations.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Marine
Renyou Zhang, Huixing Meng, Jun Ge, Henry Tan
Summary: Oil tanker offloading is a high-risk task with potential catastrophic accidents caused by human errors. This study proposes a method using Grey Relational Analysis, risk definition, and Hierarchical Task Analysis to identify key Performance Shaping Factors (PSFs) for preventing human errors during oil tanker offloading. The approach addresses challenges of incomplete data and changing performance of PSFs.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Ergonomics
Mohammad Reza Taheri, Seyed Bagher Mortazavi, Hasan Asilian, Omran Ahmadi, Fatemeh Sogandi
Summary: This study utilized the cognitive reliability and error analysis method (CREAM) to identify and assess cognitive errors among copper miners. The results showed a high prevalence of human errors in the operational units of the mine, primarily related to execution, observation, interpretation, and planning. Immediate actions are needed to improve safety performance in the mine.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
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
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)