Industrial companies working to improve CNC (Computer Numerical Control) mechanical manufacturing machines face the challenge of integrating production decision aids that are adapted to the constraints associated with dry machining processes. This tool has a direct impact on productivity and the quality of the final product by helping to determine the most suitable production parameters for dry machining. The proposed study developed an economic production strategy that considers several parameters related to the production process and manufacturing system environment simultaneously. In fact, our goal is to minimize the total cost, including raw materials, production, recycling, and energy consumption costs. We consider two types of raw materials, steel and aluminum, and a random demand over a finite horizon dissociated into equal periods. A model has been developed to express the objective function, total cost, based on variable decisions. A numerical solving procedure and example are provided to demonstrate the model.