Interpretation of technical publications material requirements and consequent realisation into material supply/repair forecasts.
Analysis of material data for historical maintenance events, in order to develop a knowledge database for material scheduled and unscheduled demands.
Build a method/algorithm to generate a BOM (Bill of Material) for future maintenance events, according to the tasks to be performed during the event.
Evaluate the accuracy of the BOM by adherence analysis when compared with real consumption data in order to continuously improve the material prediction and increase material availability for the end customer.
Definition of internal processes and KPIs (customized according to each Customer’s requirements) in order to implement, monitor and maintain a spares stock and the pool of repairable items.