Uncertainty in Humanitarian Logistics for Disaster Management. A Review

Liberatore, Federico; Pizarro, Celeste; Blas, Clara Simón de; Ortuño, M.; Vitoriano, Begoña

doi:10.2991/978-94-91216-74-9_3

Cited by 56 publications

(37 citation statements)

References 39 publications

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“…Furthermore, Liberatore et al (2013) established five major parameters based on which the uncertainties involved in humanitarian logistics are approached: (1) demand, including the size of the affected population and/or the quantities of required relief goods; (2) demand locations and (3) affected areas, indicating those directly related to the demographics of each location and the impact of the disaster; (4) supply, including considerations of the quality and availability of products in a post-disaster scenario; and finally, (5) the transportation network, including all possible damage to the infrastructure and the congestion effect. Iudin et al (2015) applied this new approach to develop a cellular automaton forest-fire model related to the percolation methodology.…”

Section: Humanitarian or Disaster Operations Managementmentioning

confidence: 99%

Emergency logistics for wildfire suppression based on forecasted disaster evolution

2017

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This paper aims to develop a two-layer emergency logistics system with a single depot and multiple demand sites for wildfire suppression and disaster relief. For the first layer, a fire propagation model is first built using both the flame-igniting attributes of wildfires and the factors affecting wildfire propagation and patterns. Second, based on the forecasted propagation behavior, the emergency levels of fire sites in terms of demand on suppression resources are evaluated and prioritized. For the second layer, considering the prioritized fire sites, the corresponding resource allocation problem and vehicle routing problem (VRP) are investigated and addressed. The former is approached using a model that can minimize the total forest loss (from multiple sites) and suppression costs incurred accordingly. This model is constructed and solved using principles of calculus. To address the latter, a multi-objective VRP model is developed to minimize both the travel time and cost of the resource delivery vehicles. A heuristic algorithm is designed to provide the associated solutions of the VRP model. As a result, this paper provides useful insights into effective wildfire suppression by rationalizing resources regarding different fire propagation rates. The supporting models can also be generalized and tailored to tackle logistics resource optimization issues in dynamic operational environments, particularly those sharing the same feature of single supply and multiple demands in logistics planning and operations (e.g., allocation of ambulances and police forces).

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Section: Humanitarian or Disaster Operations Managementmentioning

confidence: 99%

Emergency logistics for wildfire suppression based on forecasted disaster evolution

2017

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“…For an up-to-date view on the literature on decision aid models for disaster management and emergencies, we refer to , and in particular which covers deterministic models for humanitarian logistics and (Liberatore et al, 2013) which covers uncertainty in humanitarian logistics.…”

Section: Introductionmentioning

confidence: 99%

A three-stage stochastic facility routing model for disaster response planning

Rennemo

Rø

Hvattum

et al. 2014

Transportation Research Part E: Logistics and Transportation Re

172

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This paper presents a humanitarian logistics decision model to be used in the event of a disaster. The operations under consideration span from opening of local distribution facilities and initial allocation of supplies, to last mile distribution of aid. A mathematical model is developed aiming to enable efficient decision making, maximizing the utility of distribution of aid amongst beneficiaries. This model is formulated as a three-stage mixed-integer stochastic programming model to account for the difficulty in predicting the outcome of a disaster.Accessibility of new information implies initiation of distinct operations in the humanitarian supply chain, be it facility location and supply allocation, or last mile distribution planning and execution. The realized level of demand, in addition to the transportation resources available to the decision maker for execution of last mile aid distribution and the state of the infrastructure, are parameters treated as random due to uncertainty.An assessment of the applicability and validity of the stochastic program is made through extensive computational testing based on several test instances. The results show that instances of considerable size are challenging to solve due to the complexity of the stochastic programming model but, still, optimal solutions may be found within a reasonable time frame. Moreover, findings prove the value of the stochastic programming model to be significant as compared with a deterministic expected value approach. Finally, the model is also applied to a case study based on the earthquake that hit Haiti in January of 2010, showing how it could be used in a realistic operation framework.

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“…The authors, in their future research directions section, noted, on page 364, that: "In general, there is a need for papers that explicitly consider the diverging interests of multiple and sometimes competing stake-holders, such as various humanitarian organizations with different missions or religious mandates, different political interests, private company interests, donor interests, and the interests and needs of beneficiaries." For a survey of uncertainty in humanitarian logistics in disaster management, we refer the interested reader to [31]. And, for an even more recent survey, see [24].…”

Section: Optimization Under Uncertainty and Disaster Reliefmentioning

confidence: 99%

A Stochastic Disaster Relief Game Theory Network Model

Nagurney

Salarpour

Dong

et al. 2020

SN Oper. Res. Forum

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In this paper, we construct a novel game theory model for multiple humanitarian organizations engaged in disaster relief. Each organization is faced with a two-stage stochastic optimization problem associated with the purchase and storage of relief items pre-disaster, subject to a budget constraint, and, if need be, additional purchases and shipments post the disaster. The model integrates logistical and financial components, in that the humanitarian organizations compete for financial donations, as well as freight service provision, and each seeks to maximize its expected utility. The expected utility function of each humanitarian organization depends on its strategies and on those of the other organizations, and their feasible sets do, as well, since the organizations are subject to common lower and upper bound demand constraints. The governing concept is that of a stochastic generalized Nash equilibrium. We provide alternative variational inequality formulations of the model and propose an algorithmic scheme, which at each iteration yields closed form expressions for the product purchase/storage/shipment variables and the associated constraint Lagrange multipliers. Numerical examples illustrate the modeling and computational framework.

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Uncertainty in Humanitarian Logistics for Disaster Management. A Review

Cited by 56 publications

References 39 publications

Emergency logistics for wildfire suppression based on forecasted disaster evolution

Emergency logistics for wildfire suppression based on forecasted disaster evolution

A three-stage stochastic facility routing model for disaster response planning

A Stochastic Disaster Relief Game Theory Network Model

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