Network reliability analysis on casualty rescue for natural disaster evaluation

Huang, Chenghao; Chang, Kuo-Hao; Liu, Chih-Hao; Chang, T.-P.; Lin, Yi‐Kuei

doi:10.1007/s10479-023-05226-4

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…Another critical aspect of EMS research is the model and evaluation of system dependability under different operational conditions and emergency scenarios, particularly concerning reliability. Researchers have employed analytical models, simulation techniques, and empirical studies to assess system performance in real-world contexts [26][27][28]. Most works focus on describing strategies to improve EMS resilience, neglecting the necessity to properly assess the reliability level of the system, especially in critical situations, for which it is fundamental to accurately know the impact of hardware failures, communication disruptions, and environmental factors on system reliability, aiming to mitigate this impact [12].…”

Section: Related Workmentioning

confidence: 99%

Reliability and Detectability of Emergency Management Systems in Smart Cities under Common Cause Failures

Jesus,

Portugal,

Costa

et al. 2024

Sensors

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Urban areas are undergoing significant changes with the rise of smart cities, with technology transforming how cities develop through enhanced connectivity and data-driven services. However, these advancements also bring new challenges, especially in dealing with urban emergencies that can disrupt city life and infrastructure. The emergency management systems have become crucial elements for enabling cities to better handle urban emergencies, although ensuring the reliability and detectability of such system remains critical. This article introduces a new method to perform reliability and detectability assessments. By using Fault Tree Markov chain models, this article evaluates their performance under extreme conditions, providing valuable insights for designing and operating urban emergency systems. These analyses fill a gap in the existing research, offering a comprehensive understanding of emergency management systems functionality in complex urban settings.

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Section: Related Workmentioning

confidence: 99%

Reliability and Detectability of Emergency Management Systems in Smart Cities under Common Cause Failures

Jesus,

Portugal,

Costa

et al. 2024

Sensors

View full text Add to dashboard Cite

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“…Thus, such a network can be regarded as a stochastic flow network (Huang et al, 2022;Nguyen et al, 2023;Xu et al, 2021) to match the real-world. A number of researchers have extensively utilized stochastic flow networks in several real-world, such as computers (Huang et al, 2022), distribution (Niu et al, 2023), and rescue operations (Huang et al, 2023). In this research, a supply chain is also regarded as a typical stochastic flow network and is called a stochastic supply chain network (SSCN).…”

Section: Introductionmentioning

confidence: 99%

Sustainable supply chain evaluation with supplier sustainability in terms of reliability

Lin,

Lin

2024

Ann Oper Res

Self Cite

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Amidst the rising global recognition of sustainability and the United Nations' sustainable development goals, enhancing the sustainability of the supply chain while properly distributing orders has become a key point. In contrast to the previous research, this research involves supplier sustainability in reliability evaluation and proposes a new algorithm for computing reliability. In the constructed supply chain network, a node represents a supplier, assembly plant, or customer, and an arc connecting the nodes. For each arc, it has a carrier whose available carrying capacity for demand transmission. The capacity of each carrier, represented by the available delivery containers, should not be deterministic as they may be partially reserved by other customers. Under these conditions, such a supply chain network is regarded as a stochastic supply chain network (SSCN). The reliability for an SSCN is defined as the probability that the SSCN can successfully transport a specific amount of goods to a customer under supplier sustainability level, supplier production capacity, and budget. Reliability is also regarded as a performance indicator for supply chain capability when managers makes decisions under supplier sustainability consideration.

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Power supply reliability assessment for a multistate electrical power network with line loss rates

Yeh,

Lyu,

Fiondella

2024

Ann Oper Res

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Network reliability analysis on casualty rescue for natural disaster evaluation

Cited by 3 publications

References 35 publications

Reliability and Detectability of Emergency Management Systems in Smart Cities under Common Cause Failures

Reliability and Detectability of Emergency Management Systems in Smart Cities under Common Cause Failures

Sustainable supply chain evaluation with supplier sustainability in terms of reliability

Power supply reliability assessment for a multistate electrical power network with line loss rates

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