Layout optimization
Analysis and redesign of industrial layouts through simulation to maximize space efficiency, reduce logistics routes, and validate new configurations before executing physical plant changes.
- Division
- Division: CYP SIRE
- Tools
- AnyLogic · Python
01
The service
Layouts validated in simulation before anything moves on the floor.
- Ideal for
- Plants that need to free up space or shorten logistics routes.
- Tools
- AnyLogic · Python
In detail
- Layout analysis and redesign
- Space efficiency
- Shorter logistics routes
- Validation before the physical change
02 Services
CYP SIRE services
- Stochastic simulation Stochastic simulation models that capture real process variability, enabling analysis of thousands of scenarios and decisions based on probability distributions instead of fixed values.
- Digital twins A simulation model of your plant or logistics process that runs on its real-time data: it works out what should be happening and compares it with what is happening.
- Process engineering Design and optimization of complete industrial processes, from internal logistics and material flow to production line configuration, including AGV fleet sizing and bottleneck analysis.
- Layout optimization Analysis and redesign of industrial layouts through simulation to maximize space efficiency, reduce logistics routes, and validate new configurations before executing physical plant changes.
Tell us what you need to solve.
You hear back from the team that does that work: CYP ENGY, CYP DATA or CYP SIRE.