چكيده به لاتين
With the dramatic increase in natural disasters as well as other disasters affected by humankind, the need for the logistic planning of disaster relief and crisis management was indisputable. The issues related to crisis management can be divided into two categories in general. In the first category, strategic decisions before the crisis are discussed while in the second category; operational decisions during the crisis are discussed. In this study, the strategic decisions related to the preparation phase for relief efforts were mainly dealt with. Firstly, the problem of crisis relief logistical planning was described to answer the managerial questions such as the optimal location of relief goods depots, the size / capacity of each depot, the amount of storage of any type of relief goods in each depot, and ultimately the optimal distribution of relief to harmed areas demanding for the relief during a crisis. Since the data of this issue (especially the relief demand) are largely uncertain and dependent on the crisis scenario, the problem modeling was based on a robust planning approach. In such an approach, the humanitarian goal was minimizing the maximum relief deficit and the economic goal was minimizing the average cost of relief. The proposed robust planning approach was implemented in the District 1 of Tehran as a case study. CPLEX was used for problem-solving since the mathematical model of the proposed solving approach was linear. In the case study, eight possible scenarios of crisis / earthquake were defined. The optimal answer was obtained with the realization of each of these scenarios. Based on the results of the implementation of the proposed robust planning approach in this study, the cost of each scenario was very close to its optimal value (especially in more likely scenarios), and the average and maximum deficit of relief goods were reasonably controlled. Finally, comparing the proposed robust planning approach to the nominal / average approach showed that the robust planning approach had significantly a better performance whether in the average deficit parameter or the maximum deficit parameter. Since the humanitarian goal of relief logistics planning was minimizing the very important relief good deficit, thus the robust planning approach had an acceptable performance.
Keywords: Relief logistics planning, robust optimization, uncertainty, location of relief depots
