Simulation module that simulates spare parts management scenarios, covering

• aircraft operations according to realistic flight schedules,
• part failures according to their specific failure characteristics,
• delivery logistics to service these failures,
• re-balancing logistics (to minimise the risk of not being able to service subsequent failures of the same part number on later flights during the time before repaired or replacement parts are replenished into the spare parts network)

Extendable cost modelling system to define spare management contract structures in terms of inventory costs, logistics costs, penalty costs, outage costs and other parameters and to assist in analysing the total lifecycle costs for component support services,

Optimisation engine that is able to determine optimal inventory levels for a given part in an automatic manner, taking into account flight schedules, delivery and re-balancing logistics as well as service level requirements including the cost model,

Reporting module that compiles data from simulation runs and generates user specified reports for further analysis. A number of pre-defined reports are available in the reporting module along with the ability for the user to pick and choose the reports and export a full project package with input data, scenario configurations, results and supporting reports in a single file

Use-case module that consists of pre-set scenarios which can be picked by a user and executed for different user-defined data sets. Each of the use-cases has predefined reports apart from the capability for the user to choose reports from the reporting module or to download raw output data and perform offline analysis

Cluster simulation module that speeds up the simulation tasks by distributing tasks on a cluster. The cluster module leverages on Microsoft clustering technology and enable smooth scaling up of the system to handle scenarios which increase in complexity as the number of A/C, M/B, O/S and components under management increase.