Warehouse Location is a nonconvex programming problem involving the geographic placing and sizing of intermediate facilities in distribution studies. The nonconvexities are caused by economies of scale associated with the cost of building and operating the facilities. A heuristic program has been developed for solving warehouse location problems when these economies are representable by continuous concave functions. The paper discusses the heuristics used and computational experience with the program on "practical" problems. On the basis of two numerical examples for which an optimal solution was obtained through a special purpose experimental mixed integer programming code, it is conjectured (1) that near optimal solutions can be achieved using the heuristic program and (2) that optimal sizing and locating of facilities are very sensitive to the shapes of the warehousing cost functions.