Logistics Management and SCM in Disasters

Aslanzadeh, Marjan; Rostami, Ehsan Ardestani; Kardar, Laleh

doi:10.1007/978-3-7908-2156-7_10

Cited by 10 publications

(6 citation statements)

References 1 publication

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“…Natural and unnatural disasters occur in different parts of the world every year. Since disasters are increasing for several reasons (e.g., population growth, climate change, and the widespread use of mechanisation), it is predicted that existing relief measures may not be sufficient [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Pre-Positioning of a Relief Chain in Humanitarian Logistics Under Uncertainty in Road Accidents: A Real-Case Study

Hosseininezhad

Makui

Tavakkoli–Moghaddam

2021

SAJIE

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Road accidents, as one of the causes of mortality in human societies, have many adverse social and economic consequences. Various measures can improve the safety of travel. One of them is to find appropriate location of relief infrastructures. The proper pre-positioning of relief chains locations can decrease road users' fatalities. Thus this paper presents a multi-objective mathematical model to the pre-positioning of a relief chain for road accidents. Then the model is solved by a non-dominated sorting genetic algorithm. Factors that affect the location of relief chains are identified using a multi-attribute decision-making method. Finally, potential locations are proposed for the relief chain locations.

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Section: Literature Reviewmentioning

confidence: 99%

Pre-Positioning of a Relief Chain in Humanitarian Logistics Under Uncertainty in Road Accidents: A Real-Case Study

Hosseininezhad

Makui

Tavakkoli–Moghaddam

2021

SAJIE

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“…Among the various challenges that make difficult to effectively implement coordination in the humanitarian supply chain, the following are highlighted [4,8]:…”

Section: Introductionmentioning

confidence: 99%

Agent-based model for material convergence in humanitarian logistics

Suárez-Moreno¹,

Osorio-Ramírez

Adarme-Jaimes

2016

Rev. Fac. Ing. Univ. Antioquia

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ABSTRACT:Humanitarian logistics has taken a big boost as a study area because of the increased frequency of natural disasters worldwide. Within this area, there is a particular issue that has received little attention in the literature, regarding the aid received in the aftermath of a disaster. This problem may occur as an oversupply of goods, the arrival of unneeded products, or the supply of expired goods. The lack of coordination between the actors involved in relief operations can be conceived as one of the leading causes of this problem, which is called material convergence. This paper focuses on the material convergence problem, to humanitarian logistics introducing a computational theoretical approach to this problem using agent-based modeling where flows, actors and their relationships are characterized by measuring the impact on the logistics performance of the response system. Followed by the simulation, an experimental analysis of the results is performed with three different system configurations. Finally, a scenario is proposed that facilitates coordination between actors where logistics performance indicators show better results regarding response speed and coverage. RESUMEN:La logística humanitaria ha tomado un gran impulso como área de estudio, esto a causa del aumento en la frecuencia de desastres naturales a nivel global. Dentro de esta área existe un problema en particular poco tratado en la literatura, el cual se encuentra relacionado con las ayudas recibidas luego del acontecimiento de un desastre. Este problema puede presentarse como un exceso en la oferta de suministros, la llegada de productos no necesitados o el abasto de bienes vencidos. La falta de coordinación entre los actores involucrados en las operaciones de ayuda puede concebirse como una de las causas de la problemática, denominada convergencia de materiales. Este artículo se centra en la problemática de la convergencia de materiales en logística humanitaria. Se presenta una aproximación teórica computacional del problema utilizando modelado basado en agentes, donde se caracterizan los flujos, los actores y sus interrelaciones, para medir el impacto en el desempeño logístico. Seguido de la simulación se realiza un análisis experimental de los resultados con tres diferentes configuraciones del sistema. Por último, se establece qué factores facilitan la resolución al problema descrito donde los indicadores de desempeño logístico presentan mejores resultados en términos de velocidad de respuesta y cobertura.

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“…require us to do appropriate planning for relief in the event of such crises (Arabani & Farahani, 2012). There have been significant amount of works accomplished on logistics for emergency relieves (Şahin & Süral, 2007;Aslanzadeh et al, 2009;Caunhye et al, 2012). Toregas et al (1971) are believed to be the first who introduced the idea of relief logistic.…”

Section: Introductionmentioning

confidence: 99%

A location-routing model on relief distribution centers

Padasht¹,

Razmi²

2016

10.5267/j.uscm

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There have been many unexpected natural disasters such as earthquake, flood, etc. in developing countries, which have created catastrophic incidents and we need to do appropriate planning for relief to reduce the possible casualties. Such actions normally face different challenges such as damages on transportation infrastructures including roads, bridges, etc. One of the primary actions for such crises management is associated with facility location for relief distribution centers. This paper presents a multi-objective mathematical problem and applies it for a real-world case study in northern region of Iran. The study uses Lp metric to handle different objectives and fuzzy programming is used to cope with uncertainty. The preliminary results indicate that the proposed study of this paper has been able to provide efficient results.Growing Science Ltd. All rights reserved. 6

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Logistics Management and SCM in Disasters

Cited by 10 publications

References 1 publication

Pre-Positioning of a Relief Chain in Humanitarian Logistics Under Uncertainty in Road Accidents: A Real-Case Study

Pre-Positioning of a Relief Chain in Humanitarian Logistics Under Uncertainty in Road Accidents: A Real-Case Study

Agent-based model for material convergence in humanitarian logistics

A location-routing model on relief distribution centers

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