Research in humanitarian logistics

Overstreet, Robert E.; Hall, Dianne; Hanna, Joe B.; Rainer, R. Kelly

doi:10.1108/20426741111158421

Cited by 178 publications

(161 citation statements)

References 40 publications

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“…En contraste, la fase de mitigación ha sido poco abordada. El interés por la fase de recuperación, ha aumentado desde el año 2014, al notarse que el número de trabajos sobre este tópico particular se ha doblado en el último año, lo cual es coherente con las recomendaciones de Leiras et al, (2014), Kunz y Reiner (2012) y Overstreet et al, (2011.…”

Section: Tipo De Desastresunclassified

Un Análisis Bibliométrico de las Tendencias en Logística Humanitaria

2018

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* Autor a quien debe ser dirigida la correspondencia.Recibido Jun. 23, 2017; Aceptado Ago. 28, 2017; Versión final Oct. 4, 2017, Publicado Feb. 2018 Resumen El presente artículo presenta los principales resultados de un análisis bibliométrico basado en 432 publicaciones (periodo 2011-2016), tomadas de bases de datos relevantes, sobre el tema de la logística humanitaria. La logística humanitaria se ha convertido en un área de investigación fértil debido a su importancia estratégica para gobiernos, comunidades y empresas. Este campo de estudio emergió como consecuencia de las debilidades logísticas para enfrentar grandes desastres tales como el tsunami del Océano Índico (2004) y el huracán Katrina (2005), entre otros. Como tema de investigación, la logística humanitaria se proyecta como uno de los de mayor crecimiento en los próximos diez años. Aunque algunos trabajos previos han abordado este tópico desde la perspectiva de la revisión de literatura, la mayoría se centran en un análisis de contenido desde una perspectiva cualitativa y, en consecuencia, el uso de enfoques bibliométricos es escaso. En este trabajo se exponen las principales tendencias bibliométricas y se identifican algunos vacíos de conocimiento desde cinco perspectivas de análisis. Palabras clave: logística humanitaria; ayuda humanitaria; gestión de desastres; análisis bibliométrico A Bibliometric Analysis of Trends in Humanitarian Logistic AbstractThe present paper shows the results of a bibliometric analysis based on 432 publications (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) taken from relevant databases, on the subject of humanitarian logistic. Humanitarian logistics has become a fertile research area due to its strategic importance for governments, communities, and companies. This study field emerged as a consequence of logistical weaknesses to face major disasters such as the Indian Ocean Tsunami (2004) and the Katrina Hurricane (2005), among others. As a research topic, humanitarian logistic is projected as one of the highest growth in the next ten years. Although, some previous works have addressed this topic from a literature review perspective, most of them are focused on content analysis from a qualitative perspective and, in consequence, bibliometric studies are scarce. In this article, the main bibliometric trends are presented and some knowledge gaps are identified from five perspectives of analysis.

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Section: Tipo De Desastresunclassified

Un Análisis Bibliométrico de las Tendencias en Logística Humanitaria

2018

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“…The process of planning, management and control of the flow of relief resources for the injured people and patients is called relief logistics. The relief logistics seeks to present the best possible relief services to the people in need of relief with the available resource (Overstreet, 2011). Disasters are characterized by their uncertain and unpredictable natures; and therefore, demand may change rapidly in such an environment (Swiss, 2015).…”

Section: Introductionmentioning

confidence: 99%

Allocation and routing ambulances under uncertainty condition and risk for demands using the multi-stage hybrid robust model

Babaei¹,

Shahanaghi²

2017

10.5267/j.uscm

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Accidents and unpredictable diseases in different parts of the world, especially in big cities influence many lives. Most of the accidents and/or sudden diseases require quick aid due to its relation to people's life, and the least time might affect the result of the aid significantly. It is noteworthy that finding the appropriate solution is under influence of considering the financial and treatment limitations. Integration of decision making in relief logistics leads to establish a better condition. Also, with regards to the unpredictability of relief demand, uncertain conditions should be investigated in a more appropriate way of planning process. This paper investigates a comprehensive and multi-level emergency Location allocation routing emergency problem under uncertain conditions with stable response to the different situations. In the presented model, the demand is defined by the emergency stations in order to represent the actual situations in real world. On the other hand, by the increase in the rate of providing services by the ambulances, the length of the queue will decrease and the costs will reduce due to the increase in the efficiency of the ambulances. A simulated annealing (SA) algorithm is developed to solve the problem. The obtained results show that the proposed algorithm has good performance. Finally, a sensitivity analysis is done to consider the effect of different values and uncertainty taken by parameters in real world.Growing Science Ltd. All rights reserved. 7 201 ©

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“…Thus, location and allocation of relief distribution facilities play essential role for an effective emergency response planning in addition to ambulance and helicopter routing and assignment problem. The issue of the humanitarian logistics operation can be categorized in different levels including one-level (Overstreet et al, 2011), two-level (Tzeng, et al, 2007 and multi-level . The number of facilities in this category of problems includes one-facility and multi-facilities (Jotshi, et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

A new model for planning the distributed facilities locations under emergency conditions and uncertainty space in relief logistics

Babaei¹,

Shahanaghi²

2017

10.5267/j.uscm

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The life of many people across the world can face various dangers with incurrence of incidents and unpredictable diseases. Incidents often require quick relief as they directly affect human lives. The process of planning, management and monitoring the flow of relief sources to injured and sick individuals is called relief logistics. When best relief services are provided through available sources, relief logistics appear. In this article, a multi-objective model for relief resources distribution facilities under an uncertain condition is investigated in two ways of demand satisfaction by considering the relief resources accessibility and demand satisfaction in a fuzzy logic. In the presented model, the concepts of cost, chance of demand satisfaction, elevation of response capability of system, discount levels for relief commodities, late satisfaction of demand, hub for accumulation of late and returned orders and special route for time significance in distribution of relief commodities are considered. For the first problem, the chance of relief resources accessibility and for the second problem, demands were investigated using fuzzy logic. Considering the conducted analysis, the demand amount is taken more in the second problem than the first one, which has led to an increase in the cost of the second problem. On one hand, the chance of demand satisfaction with no late orders is higher than the second problem. Satisfaction of demand occurs more in the second problem as well. Thus, these problems should be utilized in a way that suits the space of this problem. To solve the problem and to do the sensitivity analysis, we present a NSGA-II algorithm to deal with multi-objectiveness of the problem. A ε-Constraint method is also proposed to evaluate the performance of the proposed algorithm.Growing Science Ltd. All rights reserved. 7

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Research in humanitarian logistics

Cited by 178 publications

References 40 publications

Un Análisis Bibliométrico de las Tendencias en Logística Humanitaria

Un Análisis Bibliométrico de las Tendencias en Logística Humanitaria

Allocation and routing ambulances under uncertainty condition and risk for demands using the multi-stage hybrid robust model

A new model for planning the distributed facilities locations under emergency conditions and uncertainty space in relief logistics

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