Abstract
In this paper, we model the situation faced by decision-makers in the first hours following a disaster when they have to deploy a humanitarian aid distribution network. This is done by first determining the number and the choice of depots to be opened and then by planning the distribution of humanitarian aid from these depots towards the affected people. We propose a decision support system (DSS) to help decision-makers in these tasks. The DSS is built around mathematical models that provide answers to the network design and distribution problems, and is completed by a multi-criteria analysis module. The DSS also provides a complete interface to display the problem’s geographic structure, including distribution routes and the location of network nodes.
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Clearly, other classes/functions are possible. For example, the Pan American Health Organization (PAHO 2001) and the US Government use a standard operational classification for donated relief supplies composed of 10 broad classes: medicines, health supplies/equipment, water and environmental health, food, shelter/electrical/construction, logistics/administration, human resources, personal needs/education, agriculture/livestock and unclassified.
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Appendix A: Screen Shots of the Decision Support System
Appendix A: Screen Shots of the Decision Support System
After running the location module (models M1–M3), the system displays the open depots, the demand points as well as their level of demand satisfaction. Aggregated performance indicators are also displayed.
The system displays the solution provided by the distribution module, and we can select any route to retrieve its relevant information.
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Rekik, M., Ruiz, A., Renaud, J., Berkoune, D., Paquet, S. (2013). A Decision Support System for Humanitarian Network Design and Distribution Operations. In: Zeimpekis, V., Ichoua, S., Minis, I. (eds) Humanitarian and Relief Logistics. Operations Research/Computer Science Interfaces Series, vol 54. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7007-6_1
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DOI: https://doi.org/10.1007/978-1-4614-7007-6_1
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