This paper evaluates the effectiveness of manufacturing systems operating under random failures and quality disturbances. Each manufactured part was inspected to be good or non-conforming. The non-conforming parts can be scrapped or reworked, considering its implications on system effectiveness. Three quality strategies are considered depending on specific industrial contexts: 1- reworking non-conforming parts until they meet specifications; 2- reworking parts with the possibility of scrapping them, and 3- scrapping parts even when they could be reworked. To analyze and evaluate the dynamic and stochastic behavior of these manufacturing systems, the paper presents analytical formulations based on a Markov chain approach. Simulation models replicating the real dynamic and stochastic behavior of these production systems were developed to validate the accuracy of the proposed analytical formulations. Finally, comparative studies, based on system effectiveness and economic aspects, were carried out between these considered quality strategies.