Few of the previous studies could help achieve health-based recovery planning at both machine and component level while considering economic and environmental effects. This is a flexible recovery decision support framework (DSF) to assist the machinery operators and machinery manufacturers in making efficient end-of-life decisions at different service-life periods. Machinery lifetime extension, return on investment by avoiding machinery replacement cost, material & resource efficiencyWe move beyond CBM (Condition Base Maintenance) and static wear and service chartsWe take into account information at several layers simultaneously: Manufacturing Execution/Production planning, production process, individual telemtry (i.e. IoT sensing layer).