A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics

Liberatore, Federico; Ortuño, M.; Tirado, Gregorio; Vitoriano, Begoña; Scaparra, Maria Paola

doi:10.1016/j.cor.2012.03.019

Cited by 152 publications

(88 citation statements)

References 25 publications

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“…They formulated a three objective problem involving lifesaving utilities, delay cost, and fairness and incorporated the information and decision updates in a rolling horizon approach plan. Liberatore et al (2014) proposed a hierarchical model for recovery operations and distribution of emergency goods in humanitarian logistics while considering the damaged elements of the distribution network. Ben-Tal et al (2011) proposed a methodology to generate a robust logistics plan that could mitigate demand uncertainty in humanitarian relief logistics.…”

Section: Introductionmentioning

confidence: 99%

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

et al. 2017

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Abstract:Resource sharing, as a coordination mechanism, can mitigate disruptions in supply and changes in demand. It is particularly crucial for platelets because they have a short lifespan and need to be transferred and allocated within a limited time to prevent waste or shortages. Thus, a coordinated model comprised of a mixed vertical-horizontal structure, for the logistics of platelets, is proposed for disaster relief operations in the response phase. The aim of this research is to reduce the wastage and shortage of platelets due to their critical role in wound healing. We present a biobjective location-allocation robust possibilistic programming model for designing a two-layer coordinated organization strategy for multi-type blood-derived platelets under demand uncertainty. Computational results, derived using a heuristic -constraint algorithm, are reported and discussed to show the applicability of the proposed model. The experimental results indicate that surpluses and shortages in platelets remarkably declined following instigation of a coordinated disaster relief operation.

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Section: Introductionmentioning

confidence: 99%

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

et al. 2017

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“…Empirical study and numerical study were connected to verify the model. Liberatore et al (2012) applied the model called RecHADS to the problem of planning for recovery of damaged elements of the distribution work, so that the consequent distribution planning would benefit the most. Chang et al (2013) proposed a greedy-search-based, multi-objective, genetic algorithm capable of regulating the distribution of available resources and automatically generating a variety of feasible emergency logistics schedules for decision-makers.…”

Section: Post-disaster Emergency Logistics and Servicesmentioning

confidence: 99%

Location and pricing of competitive service providers for post-disaster relief

Fan

Zhou

2017

IJISE

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Abstract:In post-disaster relief, competitive emergency service providers place their stations quickly for timely rescue activities. To shorten the rescue time of the emergency services and ensure the profit of emergency service providers, an extended game model is formulated to solve the problem based on the classical Hotelling model. In the new model, logistics cost is paid by service providers who can obtain honour profit through providing service for the victims. The victims endure waiting times that consist of periods of response time and travelling time. The waiting times affect the victims' decisions and affect the equilibrium prices and profits. Numerical analysis implies that service providers obtain the highest profits on their equilibrium price when their locations are decided. Furthermore, locating both players near the ends of the disaster-affected line city is beneficial to increase the gross profits.

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“…However, based on the distribution, humanitarian relief logistics models have different objectives such as considering total cost which includes minimizing traveling costs, distribution costs, manpower costs which their feasible solution is proportional to the extent of supply (Liberatore et al 2014). On the other hand, the capacity of facilities is one of the main elements in these problems regarding the demand covering.…”

Section: Introductionmentioning

confidence: 99%

A Novel Algorithm for Identifying and Analyzing Humanitarian Relief Logistics Problems: Studying Uncertainty on the Basis of Interaction with the Decision Maker

Babaei

Shahanaghi

2018

Process Integr Optim Sustain

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Integration of decision-making in relief logistics intends establishing a better condition in fast response. Also, regarding the unpredictability of relief demand, uncertain conditions should be studied in a more applicable way of the planning process. This paper investigates a comprehensive novel algorithm in order to analyze a multi-level location-allocation routing emergency problem in uncertain conditions considering a fast and stable response to the different situations. Due to this reason, system dynamics and its control are studied. In the presented model, the demand is simulated by Mont Carlo simulation. Sum of allocated resources is determined by the expected value of Poisson's distribution based on the approximation of its confidence interval. This model is capable to cover all demands existing in the network. Moreover, allocation of ambulances is considered based on the fuzzy cost. A simulated annealing (SA) algorithm is developed to solve the problem. The obtained results show that the proposed algorithm has good performance and it has been found out that total cost of the emergency system decreases with the increase of covering of stochastic demands, and the responsiveness in each scenario increases. However, the proposed algorithm is highly able to recognize the problem space to create a more precise and adequate description of the problem regarding the conditions.

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A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics

Cited by 152 publications

References 25 publications

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

Location and pricing of competitive service providers for post-disaster relief

A Novel Algorithm for Identifying and Analyzing Humanitarian Relief Logistics Problems: Studying Uncertainty on the Basis of Interaction with the Decision Maker

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