Abstract
Humanitarian logistics has gain attention as an important tool in disaster management. We propose a network design for relief distribution under several uncertain parameters based on robust optimization. The model has the solution robustness and model robustness properties. Furthermore, we present a methodology to reduce the number of variables when an equality constraint and objective function contain same variables. Our model attempts to minimize total cost of the system as well as the variance of total cost. We examine a case study on the earthquake scenarios in Bangladesh to show the applicability of the model. Our findings show that the model is robust in relief distribution planning. We analyze sensitivity of several parameters and compare several models to show the superiority of stochastic model.
