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Robust -   Najafi et al. \cite{NajafiEtal2013} study logistics of both relief items and injured (critical) people in post-disaster phase. In particular, they proposed a dynamic (multi-period) trio-objective model with heterogeneous vehicles and multiple commodities. Inspired by \cite{BertsimasSim2004} proposed technique, they presented a robust optimization model of the model; defining the number of injured people, demands, suppliers’ and hospitals’ capacities as interval data. For the objective functions, in lexicographic order, the formulation aims to minimize: 1) total weighted waiting time of unserved injured persons. 2) total weighted lead time of satisfying demands. 3) total vehicles utilized. The problem issolved via robust optimization technique, and  tested on case study with 16 nodes, five hospitals, five supplier and four vehicle types. types and solved by a commercial solver.