The goal of manufacturers today is to lower the costs of machining operations as much as possible by reducing energy consumption and increasing productivity while ensuring good surface condition. Thermoplastic polymers are widely used in several fields of engineering because of their good properties. In the present study, a metal carbide tool was used to machine a polyamide reinforced with 30% glass fiber (PA66-GF30%) specimen in a dry environment according to the Taguchi method with nine experiments (L9). Input parameters are cutting velocity (Vc), feed rate (f) and depth of cut (ap). The corresponding output performances are surface roughness (Ra), cutting force (Fz), cutting power (Pc) and material removal rate (MRR). The results were used to perform a multiobjective optimization of the operating conditions using the MCDM method, which is the classification method based on CoCoSo coupled with the Taguchi approach. The desired objective of this study concerned the minimization of (Ra, Fz, and Pc) at the same time as maximizing (MRR). The results highlighted the performance of the studied configuration.