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multi-mode network model  Renemo Rennemo  et al. \cite{RennemoEtal2014} highlight the differences between humanitarian and commercial logistics. They mention that the severity of uncertainty is more emphasized in humanitarian logistics and motivate their usage of stochastic program to tackle problems arising in humanitarian logistics. In their model, three echelons are considered: 1) International distribution centers (IDC), where the international donation and relief items are gathered, 2) local distribution centers (LDC), which are regional warehouses which are established upon the occurrence of the incident, and 3) points of distribution, which are the spots from them affected people receive the relief items. Also, they consider three types of uncertainty: 1) the demand imposed by the affected people, 2) the capacity of the emergency vehicles, and 3) the condition of the roads network. Interestingly, they argue that while the immediate requirements of the affected people as well as the available capacity of the vehicle fleet are generally known shortly after the disaster, the status of the transportation infrastructure may reveal after some time. This justifies devising a three-stage model in which the demand and the vehicles' capacity are revealed at the second stage followed by the realization of the transportation network status at the third stage. The model is a multi-mode network allowing transportation of several commodities.