Lean Enterprise Transformation is aimed at addressing the operational processes that comprise a firm in a manner that maximizes value creation and waste minimization via a toolset of operational behaviors, equipment, measures, and incentives that enables continual improvement akin to the methods originally established in the Toyota Production System (TPS). Work on learning curves related to large scale aerospace programs indicates that the unit-derived learning curve can be used as a rough predictive tool, but that other factors such as initial estimate errors, program delays and temporal workforce non-homogeneity can impact the value of these learning curves to technology development managers. A decomposition-based model of unit-derived learning curves is presented in this paper with some programmatic data from the aerospace and defense industry to identify potential improvements to learning curve estimating and a predication of the impact these changes could have on program performance is tested with simulations.