Opus Suite for the aerospace industry – data driven logistics and efficient lifecycle management

Typical scenarios where Opus Suite adds value
Aircraft maintenance planning and cost optimisation
Opus Suite enables detailed LCC and RAMS analyses, allowing operators and ministries to plan aircraft maintenance precisely and set optimal overhaul intervals. This results in lower operating costs and higher availability of aerospace assets.

Optimisation of support infrastructure and spare parts
With logistics analytics and simulation modelling, Opus Suite supports efficient spare parts inventory management and Level of Repair Analysis (LORA). Aerospace enterprises and public institutions thus ensure reliable and cost‑effective operational support.

Strategic lifecycle decision making for aerospace systems
Opus Suite serves as lifecycle analytics software that supports data‑driven strategic decision‑making for investment planning, modernisation or decommissioning. It helps to optimise TCO and availability of aerospace systems over the long term.

Real outcomes, measurable savings, concrete decisions
Support cost reduction by up to 30%
Using the OPUS10 module, spare parts stocks and maintenance can be optimised so that the fleet achieves maximum availability at minimum lifecycle cost.

Improved operational readiness
Simulations and optimisations with OPUS10 and SIMLOX help maintain high operational readiness, while CATLOC and EVO support data‑driven strategic decisions. These optimisations can deliver up to 98% accuracy in planning inventory and support.

Strategic support to development, data driven decision making
Deploying OPUS10 and SIMLOX in the early phases of aircraft design enables the evaluation of alternative concepts for maintenance, design and support – from concept through to disposal.
Opus Suite translates operational requirements into RAMS and LCC analyses, enables comparison of maintenance options and logistics scenarios, and identifies key cost drivers already in the initial design.

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