RUL-Driven Maintenance & Remanufacturing Decisions
Data-driven remaining-useful-life estimation from run-to-failure sensor data, coupled with an economic decision model that times maintenance and selects remanufacturing pathways (reuse, recycle, conventional, additive manufacturing) under uncertainty. Supervisors: Prof. Mehrdad Mohammadi (TU/e), Prof. Lorenzo Bottaccioli (PoliTO).