Support System Design & LORA

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

Level of Repair Analysis is a central element of support system design that determines where maintenance activities should be performed and how resources such as personnel, tools and spare parts should be distributed across organisational levels. Effective LORA requires a clear understanding of how maintenance allocation decisions affect operational availability and the cost of different repair strategies.

Every decision about where to repair or discard an item, and where to position repair resources, has a direct effect on how quickly a system returns to service and how much that support structure costs to run. LORA makes this relationship explicit, so maintenance allocation is chosen on its effectiveness and cost impact rather than convention.

Opus Suite+ provides a comprehensive framework for analysing all feasible maintenance allocations and evaluating their impact on effectiveness, resource requirements and lifecycle cost. By integrating maintenance structure, reliability data and supply considerations within a single data-driven environment, decision makers gain transparency into how each design alternative influences the overall support solution.

In complex maintenance organisations, a decision made for one item can affect the resourcing and performance of others. Opus Suite+ supports advanced modelling and simulation techniques that capture these dependencies, giving decision makers insight into system-wide effects rather than the consequences of a single, isolated change.

Opus Suite+ allows organisations to assess degrees of freedom in support design, evaluate alternative organisational structures, and test strategies such as shared resources or distributed maintenance concepts within a controlled analytical environment before they are implemented.

Scenario modelling and simulation allow organisations to explore flexibility, risk and uncertainty in a support strategy. By understanding how a strategy performs under varying operational conditions, teams can design more robust solutions that sustain system effectiveness over time rather than solutions optimised for a single assumed scenario.

Maintenance structure, reliability data, supply considerations and cost are all interconnected, and analysing them separately obscures how each design alternative actually affects the wider support solution. By integrating support system design, LORA and simulation within a unified data model, Opus Suite+ turns logistics engineering into a strategic decision support capability rather than a series of disconnected calculations.

It is used by organisations that need to design maintenance and support structures for complex, long-lived systems, comparing alternative support concepts to ensure logistics decisions are aligned with operational and financial objectives. Opus Suite+ allows these organisations to confidently optimise operational performance while maintaining lifecycle cost control.