The dissertation aims to propose a self-assessment model for pharmaceutical firms that can verify their capacity to meet the requirements established in the Anvisa RDC n. 301/2019, concerned with the Good Manufacturing Practices for Pharmaceutical Products. It seeks to demonstrate the model s applicability by developing an empirical study in a pharmaceutical company selected for this purpose. The methodology comprises: (i) literature review and documentary analysis on the central research themes; (ii) definition of the analytical structure based on the Analytic Hierarchy Process (AHP) method, aligned with Good Manufacturing Practices (GMP) for Pharmaceutical Products; (iii) application of the AHP method for assigning weights to the requirements of Anvisa RDC n. 301/2019; (iv) application of the self-assessment instrument addressed to the Industrial Manager of the mentioned pharmaceutical firm and determination of its capacity level to meet each requirement/item of the RDC; and (v) employment of the Importance-Performance Analysis (IPA) method to identify requirements that should be prioritized aiming future certification by Anvisa. An innovative self-assessment model based on Good Manufacturing Practices for Pharmaceutical Products stands out as the main result of this dissertation. It can support decision-making processes related to the certification of pharmaceutical firms by Anvisa.