OPUS10 is used by hundreds of clients around the world, in many different areas – from fighter jets and submarines to bullet trains, offshore rigs and cellular network base stations.
In a nutshell, OPUS10 calculates where in the maintenance chain the need for each spare part is the greatest and which spare parts are the most critical for maximizing the efficiency of the technical system. With OPUS10 you can also analyze alternative system designs and/or maintenance strategies side by side, and select the most cost effective solution. Here is a more detailed description of some of the most important areas of application:
Spare parts optimization
Spare parts optimization is the primary application of OPUS10. Cutting edge applied mathematics is used to optimize assortment and allocation of spare parts to achieve the highest possible performance at the lowest possible cost. In addition to right-sizing the initial inventory, OPUS10 can be used for optimal reallocation and/or replenishment of existing inventory. OPUS10 can be used for optimizing all types of spare parts, but is especially well-suited for expensive components with low turnover and that are possible to repair.
Optimizing logistic support organization and resources
With OPUS10 it is easy to compare alternative logistics support solutions with respect to cost efficiency. Because all relevant life cycle maintenance costs can be included in the OPUS10 model, different options can be evaluated with a focus on both performance and total cost. This makes OPUS10 a powerful tool when it comes to evaluating different logistics concepts -- for instance, whether a centralized stock facility is better than several regional stocks. Or whether transports of critical components should be carried out by truck (cheap, but longer lead time, necessitating larger inventory) or airplane (more expensive, but shorter leadtime, necessitating smaller inventory)
Optimizing system design
In the same way as with logistic support solutions above, it is easy to compare different system configurations. With OPUS10 you can see how different design decisions would impact maintenance needs, costs and systems efficiency. For instance, is it more cost effective to select an expensive component with a low failure rate than a cheaper component with a high failure rate, assuming each component provides the same function?
LSC analysis of procurements and development
When procuring, developing or preparing a proposal for a complex technical system the calculation of the ”life support cost” (LSC) is an important part of the analysis of the total life cycle cost (”LCC”). The LSC analysis provides valuable data when designing and developing a new solution, or when comparing or creating proposals.
Optimizing repair strategy (LORA)
The choice of repair/discard strategy and optimal location of repair resources constitute an important part of the maintenance plan. Deciding whether to repair or discard a component in the event of fault, as well as deciding where to perform the repair, impacts investments in both repair resources and spare parts. OPUS10 is the first, and thus far the only, tool that optimizes the repair strategy from a systems perspective in parallel with spare parts optimization. This enables a proper cost effective optimization from a holistic perspective, as different solutions can be compared on equal terms.
OPUS10 significantly facilitates the analysis of how different potential changes impact a scenario. For instance, it is possible to predict how the cost and efficiency of a logistics solution are impacted by:
- increasing the number of systems by 50%
- increasing the time in operation by 25%
- raising prices by 10%
- increasing the failure rates by 15%
- a new client or a new maintenance contract
- a requirement for a minimum inventory level
- reduced repair times
- lateral support