2012 Conference on Health and Humanitarian Logistics

Creating Sustainable Supply Systems for Delivering Humanitarian Assistance

Nur Timurlenk

Disaster Management: Decision Support System for Turkish Red Crescent

In this study, the aim is to develop a decision support system for repositioning the disaster management centers (DMC) of Turkish Red Crescent (TRC) and determining stock levels for each DMC. By evaluating Turkish data, we construct risk indices for each 953 districts and distances from 81 cities to all districts. In addition to theoretical results, we provide TRC with a user-friendly interface, which has the following features:

i) Optimum DMC locations: By using developed mathematical model including risk and distance studies, we integrate the optimum positioning results into the decision support system. The decision support tool, KADes, includes a module that allows users to see the optimum locations of determined number of DMC’s.

ii) Opening or closing a center: For the sustainability of the study, KADes aims to fulfill the future needs of TRC. It provides options to open a new center or close a current one if it is not active enough to serve disaster areas. Program users are able to choose where to open a new DMC or which one to close manually, besides KADes is also capable to locate the optimum DMC.

iii) Disaster simulation:  Using the former years’ disaster and population data, simulation model forecasts the number of disaster victims by certain mathematical calculations. In addition, TRC users can enter the number of victims manually for the analysis purposes.

iv) Inventory studies: After analysis of the current system and outputs of mentioned studies, total inventory is distributed to disaster centers according to the risk index of each city.

Comparing to the number of disaster victims in the previous periods, it is proven that KADes provides very close expectations on real-life scenarios. With the features above, TRC can use KADes for tactical and operational level applications in accordance with their long-term strategies.

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