OPUS10 – Application Areas
OPUS10 is used by hundreds of organizations around the world, in a multitude of situations and application areas – to optimize logistics support solutions as well as technical design - for systems ranging from fighter jets, submarines and radar systems to bullet trains, offshore rigs and telecom base stations.
In a nutshell, OPUS10 optimizes spare parts as well as entire maintenance and support solutions for maximized overall effectiveness at minimum life support cost. . Spares optimization is the most well-known and wide spread application area for OPUS10, but continuous development has gradually expanded the scope and capabilities of the tool, and it is now unique in its ability to cater for optimization of the entire maintenance concept simultaneously.
OPUS10 is also ideal for analysis and objective side-by-side comparison of alternative system designs or support solutions, making it possible to identify the most cost effective solution.
Here is a description of some of the most common areas of application:
Spare parts optimization
Spare parts optimization is the most common application of OPUS10. Cutting edge applied mathematics is used to optimize assortment and allocation of spare parts, so that the highest possible performance can be achieved at the lowest possible cost. In addition to right-sizing an initial inventory, the tool will also calculate the optimal reallocation and/or replenishment of existing inventory. The flexibility of OPUS10 makes it possible to optimize components that are repairable, discardable or a mix (sometime repaired, otherwise discarded), components with completely different resupply solutions, components with different criticality, and components with many different failure modes. In scenarios that may include corrective and preventive maintenance, lateral support, time phased roll-out or phase-out of systems and multiple effectiveness targets that differ per location or system type.
Optimizing logistic support organization and resources
OPUS10 is the only software on the market capable of optimizing the complete maintenance concept, in parallel with the spare parts optimization, with a holistic systems perspective. This means simultaneously making cost effectiveness trade-offs regarding:
- What items to repair and what items to reorder
- Where in the organization it is optimal to repair each item, factoring in the impact this decision will have on investments in both repair resources and spare parts. (a capability referred to as LORA XT, meaning Extended Location Of Repair Analysis)
- Spares assortment and allocation
With OPUS10 it is also easy to compare alternative logistics support solutions with respect to cost efficiency. Because all relevant maintenance costs during the life cycle can be included in the OPUS10 model, different options can be evaluated both in terms of 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 lead time, necessitating smaller inventory)
In summary, OPUS10 facilitates proper cost effective optimization of the logistic support organization, spares, personnel and maintenance resources, from a holistic perspective.
Optimizing system design
In the same way as with logistic support solutions above, it is easy to compare different system configurations. With OPUS10 different design decisions can be evaluated in terms of their impact on maintenance needs, system performance life investments and support costs. 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 and its logistics support solution, and equally when comparing different proposals and solutions, predictions and evaluations of the ”life support cost” (LSC) is an important part of the analysis of the total life cycle cost (”LCC”). Especially as operation and maintenance costs typically constitutes 60-70% of the total cost of ownership for a system. OPUS10 is ideal for bottom-up, engineering driven estimates of life support cost.
What if and Sensitivity analysis
OPUS10 is ideal for analysing how the sensitivity a certain solution is to data inaccuracy or potential changes to different criteria. For instance, it is possible to predict how the cost and efficiency of a solution are impacted by:
- variations in the failure rates of +/-20%
- increased prices on spares with 10%
- an increase in the number of systems by 25%
- an decrease of operations by 25%
- variations in lead times of 30%
- addition of a new maintenance contract
- a requirement for a minimum inventory level
- reduced repair times
- lateral support