T11 - Logistics-oriented spare parts management for the regeneration of aircraft engines

The action and decision model developed to date at the SFB provides a solid basis for predicting spare parts requirements and efficiently dimensioning inventories in multi-level pool structures. There is great potential in the industrial environment to further develop these model-based approaches, for example through the use of suitable forecasting methods such as neural networks or Bayesian models. The aim of the project is therefore to develop an integrated system for data-based forecasting of spare parts requirements and for logistics- and finance-oriented evaluation of procurement and provision strategies in engine regeneration.