Abstract: Resource teaming optimization for resource planning is provided by identifying a set of tasks, wherein each task of the set of tasks includes a plurality of subtasks that includes an initial subtask starting at a given state and a final subtask returning to the given state; identifying resource requirements for each subtasks of the plurality of subtasks; dividing a set of resources into a plurality of candidate slices to meet resource requirements for the plurality of subtasks; forming a plurality of combinations from the plurality of candidate slices to satisfy the resource requirements; identifying a given combination from the plurality of combinations having a highest teaming metric across the set of tasks; and assigning the given combination for the set of tasks.