Article
Engineering, Industrial
Xiubing Huang, Naiyu Wang
Summary: High winds from tropical cyclones can cause significant damages to power transmission system and result in power outages. Current meteorological numerical weather prediction models cannot accurately capture the wind dynamics of transmission towers and conductors. To address this issue, an Adaptive Nested Dynamic Downscaling (ANDD) strategy is proposed, which enables real-time risk forecasts of power transmission systems.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Kasturi Bhuyan, Hrishikesh Sharma
Summary: A performance-based design framework has been developed for protective structural walls/slabs susceptible to contact blast. The framework includes performance-based capacity models for different performance levels and damage states, and probabilistic models that consider both aleatoric and epistemic uncertainties. Bayesian inference is used to evaluate the unknown model parameters. Finite element modeling is used to obtain necessary data for reinforced concrete and ultra-high strength concrete panels subjected to contact blast. The validated models show agreement with experimentation. The developed capacity models are used to estimate fragility and construct protective structures based on the expected demand.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Lida Naseh Moghanlou, Francesco Di Maio, Enrico Zio
Summary: This paper proposes a probabilistic scenario analysis framework to quantify service losses and assess the economic losses and transport reliability of road-power infrastructure under different car accident scenarios. The framework allows comparing alternative designs and evaluating their performance using graphical representations.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Review
Engineering, Industrial
Elizabeth Amorkor Okine, Esmaeil Zarei, Brian J. Roggow
Summary: This article provides a comprehensive review of aviation safety literature, analyzing the research focus, major contributors, research trends, and future directions. The findings offer valuable insights and guidance for enhancing aviation safety and mitigating risks.
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
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)
Review
Engineering, Industrial
Elleke Ketelaars, Cyrille Gaudin, Simon Flandin, Germain Poizat
Summary: This systematic literature review examines the literature on resilience training (RT), specifically focusing on the effectiveness of RT interventions in preparing professionals to effectively respond to critical situations. The review identifies five types of RT and suggests the need for conceptual advancements, vocational education and training perspectives, and a cross-disciplinary approach in future research to enhance resilience in safety-related domains.
Article
Engineering, Industrial
David Rehak, Alena Splichalova, Martin Hromada, Neil Walker, Heidi Janeckova, Josef Ristvej
Summary: This article discusses the adoption of a new directive on the resilience of critical entities and emphasizes the importance of assessing their level of resilience in relation to current security threats. The authors have developed a tool, known as the CERFI Tool, which uses a probabilistic algorithm to predict the failure point of critical entity resilience based on the relationship between threat intensity and protection. The tool is important for increasing the safety of technically oriented infrastructures, particularly in the energy and transport sectors.
Review
Engineering, Industrial
Sina Rasouli, Yaghoub Alipouri, Shahin Chamanzad
Summary: Construction projects are risky environments, but the development of Personal Protective Equipment (PPE) and comprehensive safety management can effectively control the number of accidents.
Article
Computer Science, Interdisciplinary Applications
Davood Zaman Farsa, Shahryar Rahnamayan, Azam Asilian Bidgoli, H. R. Tizhoosh
Summary: This paper proposes a multi-objective evolutionary framework for compressing feature vectors using deep autoencoders. The framework achieves high classification accuracy and efficient image representation through a bi-level optimization scheme. Experimental results demonstrate the effectiveness and efficiency of the proposed framework in image processing tasks.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Interdisciplinary Applications
Decheng Wang, Ruiyou Zhang, Bin Qiu, Wenpeng Chen, Xiaolan Xie
Summary: Consideration of driver-related constraints, such as mandatory work break, in vehicle scheduling and routing is crucial for safety driving and protecting the interests of drivers. This paper addresses the drop-and-pull container drayage problem with flexible assignment of work break, proposing a mixed-integer programming model and an algorithm for solving realistic-sized instances. Experimental results show the effectiveness of the proposed algorithm in handling vehicle scheduling and routing with work break assignment.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Engineering, Industrial
Oscar F. Bustinza, Ferran Vendrell-Herrero, Charbel Jose Chiappetta Jabbour
Summary: This article discusses the relationship between product-service innovation and Green Supply Chain Management (GSCM), and presents several key themes, highlighting the vital role of sustainability in mediating technological change and competitiveness.
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
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
Amir Eshaghi Chaleshtori, Abdollah Aghaie
Summary: This paper proposes a novel approach that combines weighted principal component analysis with the Gaussian mixture model for bearing fault diagnosis. The method utilizes feature selection and the conditional entropy divergence indicator to enhance the efficiency and accuracy of fault diagnosis. Experimental results demonstrate the superior performance of this method compared to alternative techniques, achieving high accuracy rates in different case studies.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xiongping Yue, Dong Mu, Chao Wang, Huanyu Ren, Rui Peng, Jianbang Du
Summary: The fragmentation of global supply networks is a result of outsourcing and offshoring strategies. This fragmentation has led to complex interdependence patterns, making the spread of risk more likely. Current research often overlooks the propagation process of critical risks. This paper proposes a comprehensive research model by analyzing the subtier mapping and mathematical formulation of supply networks.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Sandip Barui, Debanjan Mitra, Narayanaswamy Balakrishnan
Summary: This article proposes a model to capture the dependence between performance characteristics in degradation data. The model allows for more flexible and efficient estimation of degradation processes for units and discusses the joint reliability function and its estimation. In a case study on fatigue crack degradation data, the proposed model is applied to demonstrate its usefulness.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Computer Science, Interdisciplinary Applications
Xudong Diao, Meng Qiu, Gangyan Xu
Summary: In this study, an optimization model for the design of an electric vehicle-based express service network is proposed, considering limited recharging resources and power management. The proposed method is validated through computational experiments on realistic instances.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Engineering, Industrial
Ning Wang, Tian-zi Tian, Jia-tao He, Chang-zhen Zhang, Jun Yang
Summary: The reliable transmission of data packets is crucial for ensuring the functionality of Internet of Things applications. However, existing research neglects the impact of multiple fault modes and random factors on transmission reliability. In order to address these shortcomings, this study proposes a more realistic transmission reliability model that comprehensively considers node reliability and link reliability. The effectiveness of the proposed method is validated using military Internet as an example.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(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)
