D-SIMSPAIR’s unique value proposition is enabled by a large number of novel features as follows:

Conventional mathematical modelling is replaced by high-fidelity simulation approach

• Contracts promising 100% service level can be managed and related arbitrage opportunities can be exploited with high confidence

All cost factors can be taken into account

• Total lifecycle cost (inventory + AOG delivery & risk re-balancing logistics + penalty) can be optimised

Entire service contracts for spare parts provisioning can be optimised in an integrated manner

• Significant reduction of number of expensive components can be achieved through an offset against slight increase of number of cheaper components, i.e. total cost can be reduced without increasing risk

Distinction between ESS1 (NO-GO, with and without outstation delivery commitment), ESS2 (GO-IF) and ESS3 (GO) components can be made

• Service level offering can be tailor-made even for airline clients’ outstations, thus a competitive differentiator can be created as a result of an informed decision

Spares requirements arising from both unscheduled removals (MTBUR) and scheduled maintenance removals (100-off values) can be portrayed

• Synergy between different spare parts pools can be maximised

Pooling between different airlines, dynamic behaviour of flight network and logistics support as well as timing constraints can be portrayed

• Re-usability of spares at nearby airports can be quantified and overall asset utilisation can be maximised

Real airline schedules and thus implications of the “time of the day” can be taken into account

• Additional buffers have to be kept only where required by real-life constraints

Different replenishment/backfill policies can be portrayed

• Synergy between service providers’ and airline customers’ spare parts inventory can be maximised

Other advanced spare parts policies such as dynamic re-balancing can be portrayed

• Most cost effective policies can be determined and implemented, making savings maintainable

Just-in-time delivery of spare parts triggered by advanced in-flight diagnostics can be portrayed

• Inventory can be further reduced without incurring additional risk

All features can be taken into account during Initial Provisioning exercise already

• Benefits can be harvested right from the beginning across the entire service lifecycle