Agent-based simulation optimization for dynamic disaster relief distribution

Fikar, Christian; Hirsch, Patrick; Nolz, Pamela C.

doi:10.1007/s10100-017-0518-3

Cited by 38 publications

(20 citation statements)

References 21 publications

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“…The papers in the following focus on the response phase. Çelik et al (2015) and Fikar et al (2018) consider uncertainty. In the stochastic debris clearance problem studied by Çelik et al (2015), the resource requirements of a blocked road to be cleared are assumed to be stochastic.…”

Section: Literature Overviewmentioning

confidence: 99%

“…In contrast to BSRCDP, the deadline mentioned by Çelik et al (2015) is not strict. In the problem studied by Fikar et al (2018), distribution points and a plan how to supply relief goods from a single depot to these points have to be determined. Network disruptions in terms of blocked roads due to aftershocks can occur at random times during the planning horizon.…”

Section: Literature Overviewmentioning

confidence: 99%

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Simultaneous planning for disaster road clearance and distribution of relief goods: a basic model and an exact solution method

2020

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In recent years, more and more disasters occurred. Additionally, the amount of people affected by disasters increased. Because of this, it is of great importance to perform the relief operations efficiently in order to alleviate the suffering of the disaster victims. Immediately after the occurrence of a disaster, there is an urgent need for delivering relief goods to demand locations and affected regions, respectively. Due to roads being blocked or damaged by debris, some demand locations may be out of reach and therefore the delivery of relief goods is hampered. This paper investigates the basic problem of simultaneously unblocking roads in order to make demand locations accessible and delivering relief goods in order to satisfy demand. Strict deadlines for the delivery of relief goods are considered at the demand locations. A formal problem statement is provided, and its computational complexity is analyzed. Additionally, a mixed integer programming model is developed and an exact solution method based on a branch and bound approach is proposed. A computational study investigating the performance of the model formulation and the branch and bound algorithm is conducted.

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Section: Literature Overviewmentioning

confidence: 99%

Section: Literature Overviewmentioning

confidence: 99%

Simultaneous planning for disaster road clearance and distribution of relief goods: a basic model and an exact solution method

2020

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“…It is noteworthy that each agent decides individually, based on non-linear interactions and a changing environment, whether to adopt or reject the new product. Examples of similar approaches, in which an agent population was an essential element, deal with the analysis of the disaster relief distribution (Fikar et al 2017), the decision-making and behaviors of humanitarian logistics actors (Krejci 2015), or the benefits of an open logistic network through physical internet (Sarraj et al 2013;Yang et al 2017).…”

Section: Distribution Among the Categoriesmentioning

confidence: 99%

Premises for Truck Sharing in General Cargo Cooperatives – An Exploratory Case Study Research

Stoelzle

Wildhaber

2019

Advances in Production, Logistics and Traffic

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“…ere are many tools for simulating [29] human and social behaviours in emergencies. e use of these tools can help determine the locations of temporary shelter [30] and predict disaster losses [31], which can improve the efficiency of disaster response. Search and rescue are the major parts of disaster response [32], in which agent-based simulation has been proved as a useful method [33].…”

Section: Introductionmentioning

confidence: 99%

MAS-Based Interaction Simulation within Asymmetric Information on Emergency Management of Urban Rainstorm Disaster

et al. 2020

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The frequent occurrence of urban waterlogging constantly affects resident living and urban construction. Improved adaptive prevention and control strategies are highly requested due to huge economic losses and casualties caused by flood and waterlogging in China. The urban waterlogging may evolve into a serious emergency, generally characterized by high complexity, uncertainty, and time pressure. Coupled with the asymmetric information, waterlogging often exacerbates the impact of urban rainstorm disasters. Through the multi-agent system simulation with given geographic information, government and residents interact under dynamic risk distribution in rainstorm disaster. The results show that the proactive attitude of residents and the government towards disaster relief could have a promoting effect for both, thereby increasing the disaster relief efficiency. Obviously, rapid accurate information collection and analysis facilitate disaster relief to a large extent. Meanwhile, appropriate supply rather than excessive supply may mobilize residents’ self-help and balance replenishment of relief supplies.

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Agent-based simulation optimization for dynamic disaster relief distribution

Cited by 38 publications

References 21 publications

Simultaneous planning for disaster road clearance and distribution of relief goods: a basic model and an exact solution method

Simultaneous planning for disaster road clearance and distribution of relief goods: a basic model and an exact solution method

Premises for Truck Sharing in General Cargo Cooperatives – An Exploratory Case Study Research

MAS-Based Interaction Simulation within Asymmetric Information on Emergency Management of Urban Rainstorm Disaster

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