OPUS10 – More than Spare Parts Optimization

To many, OPUS10 – one of the software tools in Opus Suite – is synonymous with cost effective spare parts optimization. With its realistic modeling of technology and support solution, rapid calculations, and results that reduce the spare part investment by 30% or more – while also increasing system availability – OPUS10 has indeed become an industry standard in this field. But as you will find below, OPUS 10 also has much more to offer.

Spare Parts Optimization

OPUS10 is ideal for finding the most cost-effective answer to 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?
• How should the spare parts solution be progressively adjusted to ensure cost-effective support during a time phased scenario (like a stepwise roll-out or phase-out of systems)? 
• For each component and type of failure, should the component be repaired or discarded when it fails?
• Where is it optimal that repairs occur, locally or centrally?
• What will the spare parts inventory cost, given my target performance and support solution restrictions (if such restrictions apply)?
• How will efficiency and costs be affected, for example prices, failure rates or lead times increase by X%?

Evaluation of Support Solutions

While spare parts optimization is a core capability of OPUS10, and most common application, OPUS10 also provides indispensable decision support in a wide range of situations. It is possible to optimize the entire maintenance concept, to evaluate and compare alternative support solutions, and to make decisions regarding:

• What is the most cost-effective support organization structure?
• Where in the organization should maintenance equipment and personnel be located?
• Should all or part of the maintenance be outsourced?
• How many warehouses do I need, and where should they be located?
• What is the most cost-effective transport solution?
• How sensitive is my solution to changes or data inaccuracy?
• How should the support organization and spare parts inventory be adjusted during stepwise ramp up or phase-out?

Evaluation of Technical Systems

Another area where OPUS10 is applicable is evaluating different technical systems and finding answers to questions such as:

• What system design and configuration are optimal from a supportability perspective?
• Which component choice is the most cost effective from a life cycle perspective, the one with a higher price and better reliability, or the one with a lower price and somewhat lesser quality?
• What component upgrades and design changes are worth the investment due to increased performance and/or reduced cost of ownership?

Modeling and Optimization of Different Scenarios

OPUS10 is scalable and flexible, it can easily manage small-case scenarios with a handful of components and a few locations, while also catering to large programs with thousands of components and a complex support solution. Its effective optimization algorithms mean that even large cases will be optimized in seconds. OPUS10 is capable of accommodating;

• Repairable components and discardable / re-ordered items, as well as components that are sometimes repaired and other times discarded.
• Scheduled and unscheduled maintenance,
• Time phased scenarios where systems are gradually introduced or phased out
  item specific support solutions,
• Physical or maintenance based product breakdown structures
  different criticality levels for components,
• Multiple optimization requirements per e.g. location, unit or system type.

Read more about application areas
 

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Opus Suite Version 2016