A post-prognostic decision approach for production and maintenance planning

International audienceAt first, Prognostics and Health Management (PHM) was interpreted as a new trend of Condition Based Maintenance (CBM) to schedule, in a more effective way, preventive maintenance actions. Lately, PHM is being used in operational decisions like choosing the appropriate mission to execute, planning logistics actions or defining the control parameters. In most of the previous studies, a single Remaining Useful Life (RUL) value was estimated by the prognostic module and integrated in the decision module regardless of the effect of already made decisions on the system health and consequently on its future RUL values. Consequently, this paper presents a jointly maintenance and operational decision- making approach for multi-component systems on a rolling decision horizon by iteratively integrating the new available RUL values to update the tasks schedule including maintenance interventions. The aim of this paper is to emphasize the need of integrating the feedback loop of the effects of already made decisions on the monitored system in the process of prognostics process. The obtained results are then compared to other methods of jointly scheduling operational and maintenance decisions like Moore algorithm combined with CBM