Multiple emergency resource allocation for concurrent incidents in natural disasters

Su, Zhaopin; Zhang, Guofu; Liu, Yang; Feng, Yulin; Jiang, Jianguo

doi:10.1016/j.ijdrr.2016.05.003

Cited by 65 publications

(43 citation statements)

References 40 publications

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“…Fourthly, preferences of decision-agents have significant influences on total emergency costs. It can be inferred that sufficient financial support plan is necessary and critical in developing EOA scheme [22,23,26]. Fifthly, instance with a larger size from real-world case is able to be subdivided into several groups with a relatively small size so as to save times or garner optimal solution within a reasonable time.…”

Section: Discussionmentioning

confidence: 99%

“…Ren et al [21] considered priority disaster areas and limited amounts into rescue team scheduling problem with regard to forest fires. Su et al [22] considered matching problem between multiple rescue teams and concurrent incidents, thus obtaining the optimal scheme concerning rescue teams. To restore the critical components of multiple interdependent lifeline infrastructure systems, Zhang et al [23] focused on homogeneous rescue team allocation problem with the concern of a precedence relation constraint so as to reduce the total losses and improve the efficiency of disaster response.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Huang et al [31] highlighted the trade-off of multiple objectives regarding lifesaving utility, delay cost and fairness. With respect to EOA problem, Su et al [22] formulated rescue teams allocation as an integer programming model to minimize the weighted travel time and total emergency costs. Zhang et al [23] developed a two-stage stochastic mixed-integer programming model for rescue team allocation with the minimization of total losses or costs and the latest completion time of tasks (namely, makespan).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Besides, heterogeneity and eligibility restrictions of EOs, sequences and urgencies of ETs, as well as sustainability are all considered by comparing with all literature presented in Table 1. (4) Single objective model for EOA is favored in literature except for Su et al [22], Zhang et al [23], Zheng et al [24,25]. Moreover, time or similar is the most popular objective, and cost is the secondary, carbon emissions are rare.…”

Section: Objmentioning

confidence: 99%

“…Therefore, it can be inferred that a sufficient financial support plan in practice plays a significant role in developing the targeted allocation scheme regarding EOs for SDSC. In the extant literature, Su et al [22], Zheng et al [23], and Rolland et al [26] also addressed the importance of financial support in the context of disaster. Besides, on the condition that keep total completion times and total carbon emissions in a reasonable range, it is necessary for beneficiaries to minimize total emergency costs as much as possible.…”

Section: Sensitivity Analysis Of Preferences Of Decision-agents Undermentioning

confidence: 99%

See 4 more Smart Citations

Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Cao

Qin

et al. 2017

Sustainability

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Abstract:To mitigate or reduce various losses and improve efficiency of disaster response, the focus of this paper is to design optimized strategies of emergency organization allocation regarding sustainability. Firstly, an integrated framework including several elements such as emergency organization, task, decision-agents, environment and their relations is developed from a systematic perspective. Then, this problem is formulated as a novel multi-objective 0-1 integer programming model to minimize total weighted completion times, total carbon emissions and total emergency costs. Next, branch and bound approach and handling strategies for multiple objectives are designed to solve this model. Finally, a case study from the Wenchuan earthquake is presented to illustrate the proposed model and solution strategies. Computational results demonstrate their significant potential advantages on allocating emergency organization from the perspectives of best practice, objective functions, preferences of decision-agents, and problem size.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Objmentioning

confidence: 99%

Section: Sensitivity Analysis Of Preferences Of Decision-agents Undermentioning

confidence: 99%

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Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Cao

Qin

et al. 2017

Sustainability

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Improved genetic algorithm approach for coordinating decision-making in technological disaster management

Guerrero Granados,

Quintero M.,

Núñez

2023

Neural Comput & Applic

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The increasing frequency of technological events has resulted in significant damage to the environment, human health, social stability, and economy, driving ongoing scientific development and interest in emergency management (EM). Traditional EM approaches are often inadequate because of incomplete and imprecise information during crises, making fast and effective decision-making challenging. Computational Intelligence techniques (CI) offer decision-supporting capabilities that can effectively address these challenges. However, there is still a need for deeper integration of emerging computational intelligence techniques to support evidence-based decision-making while also addressing gaps in metrics, standards, and protocols for emergency response and scalability. This study presents a coordinated decision-making system for multiple types of emergency case scenarios for technological disaster management based on CI techniques, including an Improved Genetic Algorithm (IGA), and Multi-objective Particle Swarm Optimization (MOPSO). The IGA enhances emergency performance by optimizing the task assignment for multiple agents involved in emergency response with coordination mechanisms, resulting in an approximately 15% improvement compared to other state-of-the-art methods. Ultimately, this study offers a promising foundation for future research to develop effective strategies for mitigating the impact of technological disasters on society and the environment.

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Location and capacity allocation for emergency contact points in large-scale power outages

Truden,

Wankmüller,

Zehetner

et al. 2024

Cent Eur J Oper Res

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Nowadays, industry and individuals alike are highly dependent on a reliable power supply. A large-scale power outage, commonly known as a “blackout” is caused by natural disasters, cyber attacks, technical failure, or human errors, and can lead to a variety of severe consequences. The far-reaching dynamics of blackouts can even result in the collapse of critical public service infrastructure reliant on electricity (e.g., communication, water supply, medical services, public safety). Particularly, the loss of information and communication infrastructure essential to reporting medical emergencies, and the collapse of the drinking water supply are two critical stressors for the population to cope with. One attempt to tackle this situation is to install temporary emergency contact points (ECPs) into existing infrastructure. These can be approached by the population to communicate with medical personnel and to receive drinking water. Different types of professional personnel, which is a limited resource, are required to run such ECPs. Our study introduces this tactical decision problem. We formulate it as an integer linear program for the optimal spatial allocation of ECPs, such that multiple types of human resources that are required for operating such locations can be efficiently assigned. A comprehensive numerical study, based on data of the City of Vienna, demonstrates how to reduce the walking distance of inhabitants while increasing the efficiency of resource allocation. Matrix pruning based on an enforced limit of the walking distances together with a decomposition approach is utilized to solve the considered instances.

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Multiple emergency resource allocation for concurrent incidents in natural disasters

Cited by 65 publications

References 40 publications

Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Improved genetic algorithm approach for coordinating decision-making in technological disaster management

Location and capacity allocation for emergency contact points in large-scale power outages

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