Single-machine-based joint optimization of predictive maintenance planning and production scheduling

•An integrated decision model is presented based on prognostics information.•The health status and dummy age subjected to machine degradation is considered.•The proposed model and hazard rate equations are used to predict RUL.•The performance of the proposed methods by one case study is analyzed.•The proposed methods have better performance than other methods.