Comparative performance of alternative humanitarian logistic structures after the Port-au-Prince earthquake: ACEs, PIEs, and CANs

Holguín‐Veras, José; Jaller, Miguel; Wachtendorf, Tricia

doi:10.1016/j.tra.2012.08.002

Cited by 51 publications

(73 citation statements)

References 9 publications

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“…The review was begun with an assessment of the extent to which the existing literature considers the key features of PD‐HL operations. On the basis of observations made during disaster research field work (Samii et al, 2002; Van Wassenhove, 2006; Holguín‐Veras et al, 2007, 2012a,b,c,d, 2013; Tomasini and Van Wassenhove, 2009; Van Wassenhove and Pedraza‐Martinez, 2012), the authors identified the most relevant features that should be incorporated in PD‐HL analytical formulations. Moreover, the models were grouped depending on the nature of their objective functions: (1) primarily logistic costs; (2) only a proxy measure of human suffering; and (3) logistic costs and a proxy measure of human suffering.…”

Section: Literature Reviewmentioning

confidence: 99%

On the appropriate objective function for post‐disaster humanitarian logistics models

Holguín‐Veras

Pérez

Jaller

et al. 2013

J of Ops Management

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412

308

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The paper argues that welfare economic principles must be incorporated in post‐disaster humanitarian logistic models to ensure delivery strategies that lead to the greatest good for the greatest number of people. The paper's analyses suggest the use of social costs—the summation of logistic and deprivation costs—as the preferred objective function for post‐disaster humanitarian logistic models. The paper defines deprivation cost as the economic valuation of the human suffering associated with a lack of access to a good or service. The use of deprivation costs is evaluated with a review of the philosophy and the economic literature to identify proper foundations for their estimation; a comparison of different proxy approaches to consider human suffering (e.g., minimization of penalties or weight factors, penalties for late deliveries, equity constraints, unmet demands) and their implications; and an analysis of the impacts of errors in estimation. In its final sections, the paper conducts numerical experiments to illustrate the comparative impacts of using the proxy approaches suggested in the literature, and concludes with a discussion of key findings.

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Section: Literature Reviewmentioning

confidence: 99%

On the appropriate objective function for post‐disaster humanitarian logistics models

Holguín‐Veras

Pérez

Jaller

et al. 2013

J of Ops Management

Self Cite

412

308

View full text Add to dashboard Cite

show abstract

“…The likely root of this situation is the extremely small number of publications describing and analyzing real-life PD-HL operations. Among the handful of publications on the subject, one could list Benini et al (2006);Holguín-Veras et al (2007, 2012a), and Holguín-Veras et al (2014. Holguín-Veras et al (2013) identified intertemporal effects, material convergence, and the impact of the distribution strategy on human suffering as three essential characteristics that must be considered for proper modeling of PD-HL.…”

Section: Basic Literature On Postdisaster Humanitarian Logistics Modementioning

confidence: 99%

“…In the initial days of the response effort, the UN tried to undertake the response on its own and failed to do so because it did not have the number of vehicles needed for the job (New York Times 2010). However, as soon as they found a way to get in touch with local truckers, the so-called "truck crisis" disappeared (Holguín-Veras et al 2012a, pp. 1629-1630.…”

Section: Inventory Allocation With Point-to-point Distributionmentioning

confidence: 99%

Inventory-Allocation Distribution Models for Postdisaster Humanitarian Logistics with Explicit Consideration of Deprivation Costs

Pérez-Rodríguez¹,

Holguín‐Veras

2016

Transportation Science

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107

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T his paper develops novel mathematical models to maximize the benefits derived from the distribution of critical supplies to populations in need after a disaster. The formulations are based on welfare economics and the use of social costs, which are incurred by the segments of society involved in, and impacted by, the relief distribution strategy. The costs to the relief group are assessed as logistical costs, whereas the impacts to the beneficiaries are measured as the effects that the relief distribution has on their deprivation costs, which are the economic value of human suffering resulting from the lack of access to a good or service. The impacts on beneficiaries take into account two components: the reduction in deprivation costs for the recipients of the aid and the increase in deprivation costs for those individuals who do not receive the aid at a delivery epoch (the opportunity costs of the delivery strategy). The paper develops an inventory-allocation-routing model for the optimal assignment of critical supplies that minimizes social costs, designs suitable heuristic solution approaches, and assesses the performance of the heuristics using numerical experiments. The results, coupled with the insight gained from the models developed, are used to establish conclusions and policy recommendations.

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“…Los indicadores se exponen en la Tabla 10. De la tabla 10 se puede destacar el papel del Ejercito Nacional, actor de gran importancia en la atención de emergencias (Balcik et al, 2010;Heaslip et al, 2012) y el rol desempeñado por la iglesia y las ONG's, quienes por su reputación e imagen de confianza ante la sociedad, tienen gran poder para convocar trabajadores voluntarios y recolectar donaciones (Argollo et al, 2014;Holguín-Veras et al, 2012).…”

Section: Fig 2: Comunidades Identificadas En La Red De Ayuda Humanitunclassified

Identificación y Análisis de una Red de Ayuda Humanitaria: Un Caso de Estudio

2017

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* Autor a quien debe ser dirigida la correspondencia.Recibido Jul. 4, 2016; Aceptado Sep. 6, 2016; Versión final Nov. 4, 2016, Publicado Abr. 2017 Resumen Con el propósito de abordar diversos desafíos que enfrenta la logística humanitaria, se identificó la configuración de la red de ayuda humanitaria de la ciudad de Manizales, Colombia y luego se analizó utilizando la teoría de grafos como componente del análisis de redes sociales. La logística humanitaria enfrenta varios desafíos debido a las circunstancias adversas en las cuales se desarrolla. En particular, la coordinación entre actores ha sido identificada como uno de los mayores problemas cuando ocurre un desastre. La configuración de la red permitió determinar la estructura general y algunas características particulares de la red objeto estudio. Se identificaron tres actores de relevancia y la existencia de cuatro comunidades dentro de la estructura general de la red. Así mismo, se evidenció la baja densidad de la red, la cual constituye un aspecto importante a considerar en la formulación de políticas públicas en torno a las capacidades para la atención de desastres. Palabras clave: logística humanitaria; ayuda humanitaria; gestión del riesgo de desastres; redes sociales; teoría de grafos Identification and Analysis of a Humanitarian Aid Network. A Case Study AbstractWith the purpose of addressing the several challenges that humanitarian logistics faces, the configuration of the humanitarian aid of Manizales city (Colombia) was identified and graph theory as a component of social network analysis was used. Humanitarian logistics faces these challenges due to adverse circumstances in which it takes place. In particular, coordination between actors has been identified as one of the biggest problems in this field of study. As a result, the overall structure and some particular network characteristics were determined. Also, the three most important actors and the existence of four communities were identified. The low network density was detected as one of the main problems, which constitutes an important aspect to consider in public policy formulation on disaster remediation.

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Comparative performance of alternative humanitarian logistic structures after the Port-au-Prince earthquake: ACEs, PIEs, and CANs

Cited by 51 publications

References 9 publications

On the appropriate objective function for post‐disaster humanitarian logistics models

On the appropriate objective function for post‐disaster humanitarian logistics models

Inventory-Allocation Distribution Models for Postdisaster Humanitarian Logistics with Explicit Consideration of Deprivation Costs

Identificación y Análisis de una Red de Ayuda Humanitaria: Un Caso de Estudio

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