I Introduction.- Statement of the Learning Augmented Economic Planning Problem.- Scope and Methodology.- II Historical Perspective.- The Origins of the Learning Curve.- Linking the Progress Function with Economic Theory.- Early Solutions for the Learning Augmented Planning Problem.- III Recent Results in the Analysis of Made-to-Order Production.- General Theoretical Results.- A Refinement of Alchian’s Propositions.- A Basic Model for Learning Augmented Production Analysis.- The Basic Model with a Variable Delivery Schedule.- The Importance of the Theoretical Framework.- IV Model Applications in the Airframe Industry.- Application to the C141 Airframe Program.- Production Cost Drivers.- The C141 Model.- Empirical Results.- Sensitivity Analyses.- Model Modifications and Extensions.- Summary.- V Two Production Function Model.- The Model Formulation and Solution.- Strategy for Application.- Sensitivity Analyses.- Application to the F102 Airframe Program.- VI Discrete Dynamic Cost Models.- A Dynamic Programming Model for Made-to-Order Production.- Simulations with the Dynamic Programming Model.- A Second Dynamic Programming Model for Made-to-Order Production.- A Third Dynamic Programming Model for Made-to-Order Production.- Relationships Among the Three Models.- An Application of a Discrete Dynamic Model.- Summary.- VII Empirical Production Rate Assessment Models.- Estimating Cost Impacts.- Contractor Behavior.- Summary.- VIII Summary and Conclusions.