Opus Suite+ for Optimization
Optimization for smarter support decisions.
The powerful optimization capabilities in Opus Suite+ help you make better decisions about spare parts, costs, and system availability. When managing complex systems and support operations, decisions based on assumptions or averages are not enough. Opus Suite+ enables you to identify the optimal support strategy based on your operational requirements and constraints.
By calculating the true optimal solution, Opus Suite+ provides clear recommendations for spare parts and support structures. It helps ensure the right stock is in the right place, delivering the required availability at the lowest possible cost. You can easily compare logistics and support strategies, understand availability at station or system level, and benchmark your spare parts strategy against the optimal solution.
Turn support decisions into measurable advantage
Optimization in Opus Suite+ allows you to balance availability, cost, and operational performance with confidence. With only a few steps, you can identify the spare parts solution that best matches your requirements—whether your priority is maximum availability, strict cost control, or the right balance between the two.
By supporting structured analysis of support strategies and life cycle costs, Opus Suite+ provides the insights needed to evaluate alternatives, validate assumptions, and make data-driven decisions. As projects and systems evolve, these capabilities help you continuously refine your support strategy and respond to changing operational demands.
With the optimization capabilities in Opus Suite+ you can:
- Find the optimum solution: Quickly identify the spare part package that best matches your operational needs and budget.
- Validate your choices: Verify assumptions and ensure requirements such as system or station availability are met – no hidden risks.
- Compare alternatives: Easily test and compare different sparing strategies, support organizations, or system designs. See costs, risks, and performance side by side.
- Benchmark suppliers: Confidently evaluate supplier proposals against the true optimum. Strengthen negotiations with data-driven insights.
- Expose the life cycle costs: Make the costs associated with a new system or a project visible for all stakeholders.
- Start modelling with high-level data: For most project getting starting and getting all detailed failure rate, etc, can be difficult. High level data give you a good starting point and are suppressible accurate on effectiveness and price.
Optimization in Opus Suite+ helps answer questions such as:
- What spare parts assortment should I have in stock, and how should I allocate it to different stock facilities to ensure maximum overall performance at the lowest possible cost?
- A high average performance is great but not enough. I have multiple performance requirements that differ per location and system type. What is the most cost-effective spare parts assortment and allocation for this situation?
- Where is it optimal that repairs occur, locally or centrally?
- How will efficiency and costs be affected, for example prices, failure rates or lead times increase by X%?
Related Resources
Find out more about the decision support Opus Suite+ can provide to your organization.