SubscribeSIMLOX is Systecon's discrete event Monte Carlo simulation model developed as an extension to OPUS10.
Although OPUS10 makes it possible to solve logistic support/spares optimizing problems analytically, a number of problems remain that require simulation. SIMLOX uses a Monte-Carlo technique that enables many replications per 'run' of the model. It simulates the operation, maintenance logistics and their interactions, for any technical system.
SIMLOX is a discrete event simulation model developed as an extension to OPUS10. It is important that analysis of the time dimension is available including the stochastic elements, as there is no such thing as an average operation. Although a separate product to OPUS10, SIMLOX will interface/integrate fully with OPUS10.
SIMLOX uses a Monte-Carlo technique that enables many replications per 'run' of the model. It simulates the operation and maintenance logistics, and their interactions, for any technical system enabling the capability assessment of that system.
SIMLOX supplements the OPUS10 model and uses the same data and definitions with a simple and easy-to-use data import utility. SIMLOX analyses the OPUS10 scenario with major extension to cover:
- Different mission profiles with variable utilization
- Mission prioritization
- Mission controlled generation of failures/damages
- Maintenance resource and constraints
- Preventative maintenance
- Mission damage
- Cannibalization/robbing
- Non critical and critical failures
- Deferred maintenance and repair
- Lateral or flexible support
- System variants
- Batched transport
- Transfer of systems, items and resources
Click these links for more details:
Use of SIMLOX vs. OPUS10
Scope of the simulation
Technical information
