Capacitated network models are presented as more appropriate instruments for studying commodity transportation-storage systems in developing areas than traditional linear programming models. Illustrations incorporate realistic features of capacity constraints, multiple transshipment points, storage, intermodal transfer costs and convex costs. A solution is obtained using the efficient Fulkerson Algorithm.