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. Maintenance planning and production scheduling are two activities that are inter-dependent but most often performed independently in manufacturing. The maintenance planning affects both available production time and failure probability. However, in previous research, the maintenance planning only considers preventive maintenance and may result in maintenance shortage or overage. And the deterioration and health status of machines from prognostics are often ignored. The paper presents an integrated decision model that coordinates predictive maintenance decisions based on prognostics information with a single-machine scheduling decisions so that the total expected cost is minimized. In the integrated model, the health status and dummy age subjected to machine degradation is considered. Finally, a case study is used to demonstrate the value of the proposed methods. And the performance of the integrated solution is compared with solutions obtained from solving the predictive maintenance planning and production scheduling problems independently. The results prove its efficiency.