Opus Suite for technically demanding industries – data‑driven planning and operational efficiency

Typical scenarios where Opus Suite adds value
Optimisation of the lifecycle of complex systems
Using the Opus Suite platform, industrial enterprises can plan investments and system development with regard to total cost of ownership (TCO). Through LCC analyses they obtain precise cost forecasts for operation, maintenance and renewal of equipment.

Simulation of operational scenarios and RAMS decision analysis
Opus Suite enables simulation of system behaviour under various conditions and identification of risk areas. This helps minimise downtime, increase operational reliability and plan maintenance efficiently.

Predictive maintenance and spare parts management
Thanks to data‑driven asset management it is possible to optimise inventory, determine repair levels (LORA) and ensure equipment readiness at minimal cost.

Real results, measurable savings, concrete decisions
Planning of service intervals and predictive analysis of equipment wear
Mining or metallurgical companies use Opus Suite for planning service intervals and predictive analysis of equipment wear. This enables prolonging equipment lifespan and reducing spare parts costs.

Modelling of availability and support in extreme conditions
Users in the maritime and oil sectors utilise simulations via the SIMLOX system for modelling support availability in extreme conditions. As a result, the number of unplanned outages is reduced and maintenance efficiency is increased.

Investment decision‑making, maintenance planning, reliability analysis of assets
Public institutions managing water, road or industrial infrastructure employ Opus Suite for investment decision‑making, maintenance planning and asset reliability analysis. The outcome is efficient infrastructure development in terms of sustainability and cost.

Do you want to decide based on data, not on intuition?
