DSIMLAB provides a full range of technical documentation on our current products as well as older products.

DSIMLAB provides a full range of technical documentation on our current products as well as older products.

A customisable business process enables decision making for use cases such as such as investment planning analysis for pool stocks and home base adaptation, sales campaign for pool stock adaptation and home base creation, scrap analysis, troublemaker identification, and understock and overstock part identification.

Module used to analyse and report the performance of a spare parts inventory network. 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)

Relevant Use Cases- Optimisation of Inventory Quantity and Allocation, Sales Campaign, Home Base Adjustment

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.

A customisable reporting engine based on user requirements. Default reports are:

• Planning report such as inventory allocation by part and location with associated expected performance and investment.
• Operation report such as troublemaker part list with associated reasons, understock part list with associated risks, and overstock part list with associated excess quantity.
• Customised report as specified by users

D-SIMSPAIR Scrap Analysis provides a decision- support system helping them in procurement of scrapped parts. It gives solutions to help them with the decision of “if to procure?” and “how much to procure?”

The Scrap Analysis tool gives a step-by-step approach in showing the user the impact of both non-procurement and procurement of spares to replace the scrapped parts on the Service Level and budget.

Relevant Uses Cases – Scrap Analysis

A statistical based transactional data analyser, adopting method such as z-test, that enables parameters such as MTBUR and repair return value revision that ensures inventory network is planned with the reality values.

The module uses past performance of parts, repair times and supplier lead times to determine the expected values of these parameters in order to use the most realistic and updated values.

Initial Provisioning: The inventory level of spare parts that has to be purchased upon the introduction of a new fleet of aircrafts.

Traditionally, provisioning has been carried out using a conventional Poisson-based approach where inventory quantities are calculated separately for each part based on the overall demand of spares for that part. In order to do this, it is important to be able to calculate the expected demand across all airports and regions accurately.

D-SIMSPAIR modeller can calculate this inventory level directly for all parts and give the overall Service Level that can be achieved from this inventory.

How you benefit

• Automated calculation of Initial Provisioning
• Estimates demands to be generated by failure
• Estimates overall Service Level achieved

Expendables are parts that are not repaired and scrapped whenever they fail and replaced with a new working unit. Repairable parts are those that can be can be repaired after a failure occurs and are replaced on the aircraft with a working part while the failed part is being repaired. However, depending on the age of the part or the type of failure, sometimes they need to be scrapped. When a part is scrapped or lost in a transaction process, a decision has to be made whether resupply from the supplier of that part is necessary. However, there are many factors that could affect this decision such as current inventory levels of the part at different airports, expected line maintenance demands and hangar maintenance demands of the part, existing budget etc.

D-SIMSPAIR provides the user with a decision support tool to help them with the decision of “if to procure?” and “how much to procure?” It gives a step-by-step approach in showing the user the impact of both non-procurement and procurement of spares to replace the scrapped parts on the Service Level and budget.

How you benefit

• Automated dashboard for decision support for procurement decisions
• Prevents unnecessary purchase of scrapped parts that aren’t required
• Provides information on the optimal number of the units of the part to be purchased
• Decision is made considering procurement budget

Allow to plan test resources in an optimal manner.