Production and maintenance planning are interconnected problems, so that their joint solution can enhance system performance. This paper develops a systematic review on the integrated production and maintenance planning on manufacturing systems. The content analysis included sixty-nine papers, embracing aspects of production system modelling, optimization mechanism, practical applications and research directions. The findings indicate the pre-dominance of theoretical studies, the use of genetic algorithm for the optimi-zation engine, in which costs and makespan are the variables of the objective function. Future research directions point to applications for real scenarios, predictive maintenance and models with increasing complexity.