Static optimization has been used extensively to solve the muscle redundancy problem in inverse dynamics. The major advantage of this approach over other techniques is the computational efficiency. This study discusses the possibility of applying static optimization to solve the muscle force distribution in forward dynamics. A simple forearm model with seven muscles is considered as an example, and static optimization is used for both inverse and forward dynamics and the results are compared. The computational costs are also detailed. In terms of simulation time, forward static optimization is found to be a suitable method for solving forward dynamic musculoskeletal simulations.