After a disaster strikes, one of the main activities to be developed from a logistics point of view is the design of humanitarian aid distribution plans. In this work the problem of designing safe feasible itineraries for last-mile distribution under the risk of being assaulted, as well as assuring the equity of the distribution, is addressed. The task of simply finding feasible solutions for this problem is highly complex. In this paper we present a constructive randomized heuristic to generate a variety of solutions within a small computational time, and we also provide some ideas of how to modify this constructive algorithm in order to use it within a metaheuristic framework
Due to copyright restrictions, the access to the full text of this article is only available via sub...
AbstractIn this paper, we address a two-echelon humanitarian logistics network design problem involv...
Thousands of victims and millions of affected people are hurt by natural disasters every year. There...
Large scale disasters, natural or human-made, have huge consequences on people and infrastructures. ...
AbstractWhen a region is hit by a severe disaster, humanitarian supplies must be provided to victims...
Natural disasters are phenomenons which strike countries all around the world. Sometimes, either by ...
In this paper, we introduce, model, and solve a clustered resource allocation and routing problem fo...
In this study, we introduce a distribution network design problem that determines the locations and...
In the post-disaster response phase, an efficient relief distribution strategy plays a vital role in...
We consider a stochastic pre-disaster relief network design problem, which mainly determines the cap...
In this study, we introduce a distribution network design problem that determines the locations and ...
In this paper, we address a two-echelon humanitarian logistics network design problem involving mult...
This thesis presents a humanitarian logistics decision model to be used in the event of a disaster. ...
The effective distribution of relief goods is critical in mitigating the impact of natural disasters...
We study a last mile distribution network design problem for situations where there exist local dist...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
AbstractIn this paper, we address a two-echelon humanitarian logistics network design problem involv...
Thousands of victims and millions of affected people are hurt by natural disasters every year. There...
Large scale disasters, natural or human-made, have huge consequences on people and infrastructures. ...
AbstractWhen a region is hit by a severe disaster, humanitarian supplies must be provided to victims...
Natural disasters are phenomenons which strike countries all around the world. Sometimes, either by ...
In this paper, we introduce, model, and solve a clustered resource allocation and routing problem fo...
In this study, we introduce a distribution network design problem that determines the locations and...
In the post-disaster response phase, an efficient relief distribution strategy plays a vital role in...
We consider a stochastic pre-disaster relief network design problem, which mainly determines the cap...
In this study, we introduce a distribution network design problem that determines the locations and ...
In this paper, we address a two-echelon humanitarian logistics network design problem involving mult...
This thesis presents a humanitarian logistics decision model to be used in the event of a disaster. ...
The effective distribution of relief goods is critical in mitigating the impact of natural disasters...
We study a last mile distribution network design problem for situations where there exist local dist...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
AbstractIn this paper, we address a two-echelon humanitarian logistics network design problem involv...
Thousands of victims and millions of affected people are hurt by natural disasters every year. There...