Additive Manufacturing (AM) processes enable the validation of design variants, and the manufacturing of low volume specialty components. A production on-demand solution can be established close to a customer, but the economies of scale need to be considered. Slow fabrication times are an issue for larger production volumes, but for the directed energy deposition (DED) and hybrid manufacturing (where additive and machining operations are interwoven), new process planning scenarios can be explored for both low and medium volume production levels, which aligns well with addressing on-demand service and out of production components. Prior to exploring multi-function machines and dynamic layouts, the precedence diagrams need to be determined as well as the process summary matrices. However, with DED and hybrid AM, there are unique scenarios for the dependencies and thermal cycling conditions. This preliminary research focuses on defining a framework for DED AM precedence diagrams, process summary data, and insights for systematically decomposing components for macro level process planning.