Support System Design & LORA

Support System Design, LORA and Simulation enables organization's to design support solutions that achieve required system effectiveness at optimized lifecycle cost. With Opus Suite, teams can structure, analyze and compare alternative support concepts within a single integrated data driven environment, ensuring that logistics decisions are aligned with operational and financial objectives.

Designing a support system is a structured process of identifying feasible logistics alternatives, evaluating their impact and selecting the solution that delivers the best balance between performance and cost. This includes defining maintenance concepts, allocating resources and determining how repair, supply and organizational structures influence overall system effectiveness.

Location of Repair Analysis is a central element of this process. It determines where maintenance activities should be performed and how resources such as personnel, tools and spare parts should be distributed across organizational levels. Effective LORA requires a clear understanding of the relationship between maintenance allocation decisions and operational availability, as well as the cost implications of different repair strategies.

Opus Suite provides a comprehensive framework for modelling these relationships. It enables organizations to analyze all feasible maintenance allocations and evaluate their impact on effectiveness, resource requirements and lifecycle cost. By integrating maintenance structure, reliability data and supply considerations, decision makers gain transparency into how each design alternative influences the overall support solution.

Complex maintenance organizations often involve interdependencies where decisions for one item affect others. Opus Suite supports advanced modelling and simulation techniques that capture these dependencies and provide insight into system wide effects. Users can assess degrees of freedom in support design, evaluate alternative organizational structures and test strategies such as shared resources or distributed maintenance concepts within a controlled analytical environment.

Scenario modelling and simulation capabilities enable organizations to explore flexibility, risk and uncertainty. By understanding how support strategies perform under varying operational conditions, teams can design robust solutions that sustain system effectiveness over time.

By integrating support system design, LORA and simulation within a unified data model, Opus Suite transforms logistics engineering into a strategic decision support capability. Organizations can confidently design maintenance and support structures that optimise operational performance while maintaining lifecycle cost control.