Optimization is valuable when trying to determine a best solution, as opposed to just evaluating a solution. Also, because the Optimization solution is global in space and time, it is useful for planning current operations in a manner that leaves the system in a good position to meet upcoming conditions.

Complex systems can require much trial and error to approach a best solution, and it might not be obvious how changes to one part of the system affect other parts of the system or operations in the future. Optimization provides an efficient means to find the best operations for near-term objectives without jeopardizing the ability to meet constraints in the future.