Article
Engineering, Industrial
Tom Becker, Peter Ayton
Summary: By analyzing global civil aviation data, we found that there is a significant increase in the number of accidents and safety critical incidents, as well as the fatalities, when the Pilot-in-Command acts as the Pilot Flying instead of the Pilot Monitoring. Most of these events occurred in technically airworthy aircraft without any emergencies, and the flight crew assessed them as preventable. These findings align with the crew assignment effect, suggesting that role-dependent status hierarchy and cognitive overload contribute to ineffective flight crew teamwork. The measures implemented to enhance flight crew teamwork, such as Crew Resource Management training, have not been successful in preventing these issues.
Article
Engineering, Industrial
Agnimitra Dasgupta, Erik A. Johnson
Summary: We introduce a novel framework called REIN for reliability estimation using importance sampling and normalizing flows. REIN demonstrates effectiveness in high-dimensional reliability estimation with very small failure probabilities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Computer Science, Interdisciplinary Applications
Danny Blom, Christopher Hojny, Bart Smeulders
Summary: This paper focuses on a robust variant of the kidney exchange program problem with recourse, and proposes a cutting plane method for solving the attacker-defender subproblem. The results show a significant improvement in running time compared to the state-of-the-art, and the method can solve previously unsolved instances. Additionally, a new practical policy for recourse is proposed and its tractability for small to mid-size kidney exchange programs is demonstrated.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Engineering, Industrial
Hadi Gholinezhad
Summary: This paper proposes a new Reliability Redundancy Allocation Problem (RRAP) where non-identical components can be allocated to each subsystem and the redundancy strategy is variable. An improved genetic algorithm is presented to solve the proposed problem. The results demonstrate that the proposed RRAP outperforms the previous models in terms of reliability improvement.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Computer Science, Interdisciplinary Applications
Matthew E. Scherer, Raymond R. Hill, Brian J. Lunday, Bruce A. Cox, Edward D. White
Summary: This paper discusses instance generation methods for the multidemand multidimensional knapsack problem and introduces a primal problem instance generator (PPIG) to address feasibility issues in current instance generation methods.
COMPUTERS & OPERATIONS RESEARCH
(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
Computer Science, Interdisciplinary Applications
William N. Caballero, Jose Manuel Camacho, Tahir Ekin, Roi Naveiro
Summary: This research provides a novel probabilistic perspective on the manipulation of hidden Markov model inferences through corrupted data, highlighting the weaknesses of such models under adversarial activity and emphasizing the need for robustification techniques to ensure their security.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(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
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaowen Yao, Chao Tang, Hao Zhang, Songhuan Wu, Lijun Wei, Qiang Liu
Summary: This paper examines the problem of two-dimensional irregular multiple-size bin packing and proposes a solution that utilizes an iteratively doubling binary search algorithm to find the optimal bin combination, and further optimizes the result through an overlap minimization approach.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Engineering, Industrial
Athira Bahuleyan, Meena Chavan, Anna Krzeminska, Francesco Chirico
Summary: This paper conducts a systematic literature review to explore the trajectory of university spinoffs (USOs). By examining 120 peer-reviewed journal articles, the paper develops a comprehensive model of USO development and identifies specific factors that affect each phase of development. The study contributes to the academic entrepreneurship literature and highlights the complementary nature of process and variance models in advancing research on USOs.
Article
Computer Science, Interdisciplinary Applications
Rafael Praxedes, Teobaldo Bulhoes, Anand Subramanian, Eduardo Uchoa
Summary: The Vehicle Routing Problem with Simultaneous Pickup and Delivery is a classical optimization problem that aims to determine the least-cost routes while meeting pickup and delivery demands and vehicle capacity constraints. In this study, a unified algorithm is proposed to solve multiple variants of the problem, and extensive computational experiments are conducted to evaluate the algorithm's performance.
COMPUTERS & OPERATIONS RESEARCH
(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
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
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
Miguel Angel Mendoza-Lugo, Oswaldo Morales-Napoles
Summary: This study investigates the use of hazard maps to identify critical locations associated with extreme vehicle load events. A methodology is proposed to estimate axle loads and map extreme gross vehicle weights using data from less-sophisticated traffic counters. A case study focusing on major highway corridors in Mexico is presented to demonstrate the feasibility of this approach. The study findings facilitate the identification of hazardous locations and provide tools for generating synthetic axle loads, serving as the foundation for maintenance strategies for existing roads and bridges.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Computer Science, Interdisciplinary Applications
Moacyr Carlos Junior, Adalberto Sato Michels, Leandro Magatao
Summary: This study proposes a novel constraint programming model to solve the Multi-manned Assembly Line Balancing Problem and improves the solution quality compared to existing literature. The model found 126 optimal solutions from a dataset of 140 instances.
COMPUTERS & OPERATIONS RESEARCH
(2024)
