Nonlinear programming methods are used to create effective drying schedules for boards. A two-dimensional, orthotropic drying model is connected to an optimization routine that solves convex sub-problems. The iterative optimization program calculates the drying schedule, i.e. the variation of temperature and humidity with time, that gives the shortest drying time for a board with prescribed upper and lower level of the moisture content. To demonstrate the capability of the technique, numerical results are presented.