Multi-objective optimization of closed-loop supply chains to achieve sustainable development goals in uncertain environments

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108052 - 108052

Опубликована: Фев. 15, 2024

Язык: Английский

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Enhancing resilience of urban underground space under floods: Current status and future directions

Tunnelling and Underground Space Technology, Год журнала: 2024, Номер 147, С. 105674 - 105674

Опубликована: Март 11, 2024

Язык: Английский

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A Systematic Literature Review on Transit-Based Evacuation Planning in Emergency Logistics Management: Optimisation and Modelling Approaches

Buildings, Год журнала: 2024, Номер 14(1), С. 176 - 176

Опубликована: Янв. 10, 2024

Increasing disasters in recent years have necessitated the development of emergency logistics plans. Evacuation planning plays an important role management, particularly when it comes to addressing transit-dependent populations that are often neglected previous studies. This systematic literature review explores current state transit-based evacuation and examines gaps. We focused on problems used optimisation modelling approaches. conducts extensive analysis relevant studies provide a comprehensive overview, identify research gaps, outline future directions body knowledge. Using integrated methodology, thorough search Scopus Web Science databases was conducted, resulting total 538 articles. These articles were screened evaluated based predetermined inclusion exclusion criteria, ultimately yielding 82 for final analysis. The findings highlight growing importance approaches within planning. Studies emphasize integration public transportation networks into strategies enhance operational efficiency, optimize resource allocation, ensure evacuee safety. Transit-based is vital both those without personal vehicles, making more equitable, vehicle owners, earthquakes where vehicles might be inaccessible or trapped, demonstrating its wide usefulness all scenarios. Various been employed simulate analyse flow evacuees during emergencies. exhibits unique characteristics disaster including consideration spatial temporal dynamics transit systems, social demographic factors, involvement multiple stakeholders. Spatial encompass schedules, capacities, routes, while factors involve variables such as income, age, mobility status. Stakeholder engagement facilitates collaborative decision-making effective plan development. However, faces challenges require further Data availability accuracy, model validation, stakeholder coordination, uncertainty dynamic pose significant hurdles. Addressing these necessitates advances data collection, robust frameworks, improved communication coordination mechanisms among gaps requires interdisciplinary collaborations analytics techniques.

Язык: Английский

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Review of advanced emergency evacuation procedures in hospital buildings: comprehensive analysis and insights

Frontiers in Built Environment, Год журнала: 2024, Номер 10

Опубликована: Апрель 10, 2024

This research paper explores the integration of novel technologies in hospital emergency evacuations, particularly Operating Rooms (ORs) and Emergency Departments (EDs). It examines application advanced tools like simulation modeling, Building Information Modeling (BIM), Digital Twin technology, sensor data, Artificial Intelligence (AI) to improve evacuation strategies building. The study extends in-depth case studies for assessing practicality existing protocols, while also highlighting critical importance staff training preparedness. Additionally, it addresses ethical psychological impacts emergencies on patients healthcare staff, underscoring need technology be complemented with human-centered care. concludes by emphasizing ongoing necessity innovative enhancing safety operational resilience management.

Язык: Английский

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Selection of urban flood shelter locations based on risk assessment

Water-Energy Nexus, Год журнала: 2024, Номер 7, С. 151 - 162

Опубликована: Май 3, 2024

Within the framework of global climate change, there is a recurring occurrence floods and waterlogging disasters, which pose significant risks to human lives overall safety. The phenomenon urbanization has led an increased vulnerability cities flood disasters. Evacuation serves as viable strategy for adapting managing intense precipitation events, mitigating impact Hence, meticulous choice shelters emerged crucial element in enhancing effectiveness evacuations. Nevertheless, process choosing sometimes neglects consider potential flooding not undergone thorough testing. objective this research systematically choose within central metropolitan region, incorporate risk considerations into shelter site model, assist consequences resulting from change. To begin with, employ two-dimensional shallow water model order replicate instances produce data on inundation. Subsequently, simulation results are utilized assess using entropy weight approach. This then incorporated multi-objective optimization determine optimal placement. Ultimately, ABM was employed create crowd evacuation urban areas, confirming efficacy selection thoroughly examining influence various efficiency community emergency evacuation. study's findings indicate that total 26 were chosen study area methodology, ensuring inclusion all affected populations. utilization models places been shown enhance efficiency, confirmed by model. decline population's death rate 1.94% 0.98%, increase 97.4% 98.4%, reduction number casualties 133 individuals.

Язык: Английский

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An Integrated Metric for Rapid and Equitable Emergency Rescue During Urban Flash Flooding Events

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105209 - 105209

Опубликована: Янв. 1, 2025

Язык: Английский

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Improved Multi-Strategy Sand Cat Swarm Optimization for Solving Global Optimization

Biomimetics, Год журнала: 2024, Номер 9(5), С. 280 - 280

Опубликована: Май 8, 2024

The sand cat swarm optimization algorithm (SCSO) is a novel metaheuristic that has been proposed in recent years. optimizes the search ability of individuals by mimicking hunting behavior groups nature, thereby achieving robust performance. It characterized few control parameters and simple operation. However, due to lack population diversity, SCSO less efficient solving complex problems prone fall into local optimization. To address these shortcomings refine algorithm’s efficacy, an improved multi-strategy (IMSCSO) this paper. In IMSCSO, roulette fitness–distance balancing strategy used select codes replace random agents exploration phase enhance convergence performance algorithm. bolster perturbation introduced, aiming facilitate escape from optima. Finally, best–worst developed. approach not only maintains diversity throughout process but also enhances exploitation capabilities. evaluate we conducted experiments CEC 2017 test suite compared IMSCSO with seven other algorithms. results show paper better

Язык: Английский

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Rescue path planning for urban flood: A deep reinforcement learning–based approach

Risk Analysis, Год журнала: 2024, Номер unknown

Опубликована: Авг. 11, 2024

Urban flooding is among the costliest natural disasters worldwide. Timely and effective rescue path planning crucial for minimizing loss of life property. However, current research on often fails to adequately consider need assess area risk uncertainties bypass complex obstacles in flood scenarios, presenting significant challenges developing optimal paths. This study proposes a deep reinforcement learning (RL) algorithm incorporating four main mechanisms address these issues. Dual-priority experience replays backtrack punishment enhance precise estimation risks. Concurrently, random noisy networks dynamic exploration techniques encourage agent explore unknown areas environment, thereby improving sampling optimizing strategies bypassing obstacles. The constructed multiple grid simulation scenarios based real-world operations major urban disasters. These included uncertain values all passable an increased presence elements, such as narrow passages, C-shaped barriers, jagged paths, significantly raising challenge planning. comparative analysis demonstrated that only proposed could plan across nine scenarios. advances theoretical progress by extending scale unprecedented levels. It also develops RL adaptable various extremely Additionally, it provides methodological insights into artificial intelligence management.

Язык: Английский

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Valuation of marine integrated disaster management amidst global warming in Southern Coast of Java, Indonesia

Marine Pollution Bulletin, Год журнала: 2024, Номер 211, С. 117446 - 117446

Опубликована: Дек. 19, 2024

Язык: Английский

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A metaheuristic-driven physical asset risk management framework for manufacturing system considering continuity measures

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 126, С. 106789 - 106789

Опубликована: Июль 27, 2023

Язык: Английский

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