Methods that jointly consider production logistics, quality control and preventive maintenance parameters in multi-stage systems with degrading resources do not exist in the literature. In practice, it is difficult to quantitatively estimate the impact of these decisions on the overall effective production rate observed in output from the system. Important questions like “What is the expected system effective production rate if the time to preventive maintenance of one machine is reduced?” and “What is the effect of increasing the inspection frequency of one product feature on the overall production yield of the system” remain unsolved. This results in the implementation of sub-performing unbalanced systemic solutions that privilege one of these aspects and penalize the overall manufacturing system efficiency.