Ten-tier and multi-scale supply chain network analysis of medical equipment: random failure & intelligent attack analysis DOI
Kayvan Miri Lavassani, Zachary M. Boyd, Bahar Movahedi

и другие.

International Journal of Production Research, Год журнала: 2022, Номер 61(24), С. 8468 - 8492

Опубликована: Дек. 28, 2022

Motivated by the COVID-19 pandemic, this paper explores supply chain viability of medical equipment, an industry whose was put under a crucial test during pandemic. This includes empirical network-level analysis supplier reachability Random Failure Experiments (RFE) and Intelligent Attack (IAE). Specifically, study investigates effect RFE IAE across multiple tiers scales. The global data mined analysed from about 45,000 firms with 115,000 intertwined relationships spanning 10 backward equipment. complex network at four scales, namely: firm, country-industry, industry, country. A notable contribution is application tier optimisation tool to identify lowest that can provide adequate resolution for pattern. We also developed data-driven-tools thresholds breakdown fragmentation equipment when faced random failures or different intelligent attack scenarios. novel tools utilised in be applied other industries.

Язык: Английский

Machine Learning for Risk and Resilience Assessment in Structural Engineering: Progress and Future Trends DOI
Xiaowei Wang, Ram K. Mazumder, Babak Salarieh

и другие.

Journal of Structural Engineering, Год журнала: 2022, Номер 148(8)

Опубликована: Июнь 9, 2022

Population growth, economic development, and rapid urbanization in many areas have led to increased exposure vulnerability of structural infrastructure systems hazards. Thus, developing risk-based assessment management tools is crucial for stakeholders the general public make informed decisions on prehazard planning posthazard recovery. To this end, risk resilience has been an ongoing research topic past 20 years. Recently, machine learning (ML) techniques shown as promising advancing structure systems. date, however, there a lack holistic review ML progress across various branches engineering; in-depth analysis literature that can provide timely evaluation methods built environment, where different types facilities are interconnected. For reason, study conducted comprehensive four main engineering (buildings, bridges, pipelines, electric power systems). cover modules prevailing frameworks, existing thoroughly examined characterized terms six attributes ML, including method, task type, data source, scale, event area. Moreover, limitations challenges identified, future needs highlighted move forward frontiers assessment.

Язык: Английский

Процитировано

112

On Machine Learning-Based Techniques for Future Sustainable and Resilient Energy Systems DOI
Jiawei Wang, Pierre Pinson, Spyros Chatzivasileiadis

и другие.

IEEE Transactions on Sustainable Energy, Год журнала: 2022, Номер 14(2), С. 1230 - 1243

Опубликована: Июль 28, 2022

Permanently increasing penetration of converter-interfaced generation and renewable energy sources (RESs) makes modern electrical power systems more vulnerable to low probability high impact events, such as extreme weather, which could lead severe contingencies, even blackouts. These contingencies can be further propagated neighboring over coupling components/technologies consequently negatively influence the entire multi-energy system (MES) (such gas, heating electricity) operation its resilience. In recent years, machine learning-based techniques (MLBTs) have been intensively applied solve various problems, including planning, or security reliability assessment. This paper aims review MES resilience quantification methods application MLBTs assess level future sustainable systems. The open research questions are identified discussed, whereas directions identified.

Язык: Английский

Процитировано

44

Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems DOI
Jian Zhou, David W. Coit, Frank A. Felder

и другие.

Reliability Engineering & System Safety, Год журнала: 2023, Номер 237, С. 109376 - 109376

Опубликована: Май 9, 2023

Язык: Английский

Процитировано

27

A two-stage resilience promotion approach for urban rail transit networks based on topology enhancement and recovery optimization DOI
Chen Xu, Xueguo Xu

Physica A Statistical Mechanics and its Applications, Год журнала: 2024, Номер 635, С. 129496 - 129496

Опубликована: Янв. 5, 2024

Язык: Английский

Процитировано

15

Resilience measurement and analysis of intercity public transportation network DOI

Xifang Chen,

MA Shu-hong,

Lin Chen

и другие.

Transportation Research Part D Transport and Environment, Год журнала: 2024, Номер 131, С. 104202 - 104202

Опубликована: Апрель 15, 2024

Язык: Английский

Процитировано

15

Multi-agent deep reinforcement learning based decision support model for resilient community post-hazard recovery DOI
Sen Yang, Yi Zhang, Xinzheng Lu

и другие.

Reliability Engineering & System Safety, Год журнала: 2023, Номер 242, С. 109754 - 109754

Опубликована: Окт. 23, 2023

Язык: Английский

Процитировано

21

Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review DOI
Basem A. Alkhaleel

International Journal of Critical Infrastructure Protection, Год журнала: 2023, Номер 44, С. 100646 - 100646

Опубликована: Дек. 4, 2023

Язык: Английский

Процитировано

18

Computational methodologies for critical infrastructure resilience modeling: A review DOI
Ankang Ji,

Renfei He,

Weiyi Chen

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102663 - 102663

Опубликована: Июль 4, 2024

Язык: Английский

Процитировано

9

Comprehensive functional resilience assessment methodology for bridge networks using data-driven fragility models DOI
Zhenliang Liu, Suchao Li, Anxin Guo

и другие.

Soil Dynamics and Earthquake Engineering, Год журнала: 2022, Номер 159, С. 107326 - 107326

Опубликована: Май 4, 2022

Язык: Английский

Процитировано

22

Industry 4.0 Solutions Impacts on Critical Infrastructure Safety and Protection–A Systematic Literature Review DOI Creative Commons
Michał Wiśniewski, Bartłomiej Gładysz, Krzysztof Ejsmont

и другие.

IEEE Access, Год журнала: 2022, Номер 10, С. 82716 - 82735

Опубликована: Янв. 1, 2022

In today's turbulent and complex times, the importance of functional security continuity critical infrastructure (CI) is particular importance. The Industry 4.0 (I4.0) toolset contains many technologies that support CI or are an integral part thereof. purpose this paper to examine relationship between I4.0. goal will be achieved by (1) conducting a systematic literature review using VOSviewer, (2) identifying leading research topics Latent Dirichlet Allocation, (3) mapping results obtained possibilities for further research. Web Science, Scopus, set specific keywords were used select peer-reviewed papers presenting evidence considered connections. Selected clusters build reference framework formed relations revealed despite popularity both issues, studies examining mutual same lacking. added value article it organizes knowledge related I4.0 CI, indicates areas require scrutiny. It first comprehensive focusing specifically on &

Язык: Английский

Процитировано

21