It is normal to use OPUS10TM first to:
- Compare different alternatives
- Generate optimum spares allocations/assortments
- Generate optimal repair location
- Select cost-effective solution
- Apply detailed mission data and study the impact of a dynamic mission profile
- Apply data for the model extensions such as robbing and study the effects on system availability
- Run selected stock allocation point
- Analyse the impact of the time dimension
- Compare system Measure of Effectiveness (MoE) with requirements
- OPUS10TM optimises, SIMLOX analyses
- A complete C/E curve
- Life support cost (LSC) calculations
- Can compare different strategies in a simple cost-effective way
- Very fast
- Mature software
- More flexible than OPUS10TM
- Detailed mission profiles
- Flexible and time dependent
- Explicit missions that are performed at certain points in time
- Variable utilisation profile
- Cancel missions in minimum assets not available
- Many mission types
- Time dependencies/aspects can be modelled
- More accurate system MoE
- Ability to track resources and spares through the simulation
- Percentiles on results
- Mean values and standard deviations can be presented
- Lower values due to aspects such as maintenance resource availability, batched transports, damages and utilisation varying over time
- Higher values due to aspect such as cannibalisation, robbing, loans between bases and repair prioritisation
- Non contiguous demand generation
- Failures/damages only effects systems when operating
- Ability to limit the number of failed items per system
- Non steady state
- Parallel repair
- Delayed sub item demand
- The fraction of successful mission must exceed X%
- The number of aircraft on ground must not exceed Y in any 24 hour period with a confidence of 90%
SIMLOX Version 4 Enhancements