The objective of the current study is the development of an optimization methodology for the energy efficiency of the cold roll forming process. Towards that target, a hybrid modeling approach, utilizing analytical and computational models, is proposed and developed. The energy efficiency indicator for the cold roll forming process is defined, as taking into account the cold roll forming process as a system with energy inputs and outputs. An analytical model was proposed and analyzed for the calculation of such energy efficiency indicator. Internal deformation work for longitudinal and bending strains and pulling frictional work were taking into account. Validation of the analytical model with experimental data and a sensitivity analysis for cold roll forming process variables are then presented. Furthermore a computational model for the cold roll forming process was proposed and analyzed. Simulation methods and modeling approach are analyzed for both forming and springback analysis. The computational model sections and variables are analyzed and results for longitudinal strains are validated with experimental data. The aforementioned modeling approaches were integrated within an optimization methodology, which consist of a robust design algorithm and a closed loop checking for quality constraints. A robust design algorithm implementation was proposed utilizing the analytical model, as taking into account the uncertainty of noise factors within computer experiments. Closed loop checking of quality constraints is implemented using computational model and specified process guidelines. The main outcome of this work is the complete method that was proposed and realized through analytical and computational models. The evaluation of the case study revealed the efficiency and practicality of the suggested approach towards energy efficiency optimization of the cold roll forming process.