Cost Effective Product Support Solutions
With the need to make good decisions when designing and managing a Product Support solution, and a business drive to reduce ownership costs, the challenge of cost-effective equipment support is pushed to the limits. A tool of choice in these circumstances is OmegaPS Analyzer.
The Analyzer modelling software includes Life Cycle Cost (LCC) Optimization, Level of Repair Analysis (LORA), Spares Optimization, and Availability Modelling. It is a key tool for managers, decision-makers, engineers, ILS teams and other staff involved in system design, system acquisition, proposal writing, support solution optimisation, in-service support management and through-life support.
OmegaPS Analyzer uses recognized processes and analytical methods to develop, store and evaluate information about operational equipment and the support environment.
A software product that provides the power of a modern GUI and the sophistication of the embedded proven algorithms. OmegaPS Analyzer can determine the best repair policy for equipment and reduce the cost of owning spare parts. The cost estimation and prediction supports decisions based on Life Cycle Costs.
OmegaPS Analyzer is either a stand-alone decision modelling tool or integrated with OmegaPS LSAR to provide a tool that works with the many international standards of supportability data (e.g. MIL-STD-1388-2B, SAE GEIA-STD-0007, DEF-STAN-0060, DEF-AUST 5692, S3000L) additionally, Analyzer can be aligned with any of your bespoke standards through data exchange. The core analyses of Analyzer include:
The LCC Model
Determines the Life Cycle Cost (LCC) of an operation and support scenario. The basic cost breakdown structure for R&D, Acquisition, In-Service and Disposal is developed. The cost of allocated spares recommended by the Sparing model can also be taken into consideration. The basic model calculations can be extended with user defined cost classes and customized costs. Cost results are analyzed by using Sensitivity or Trade-off analyses and by applying cost Risk analysis. The application of project-based cost breakdown structures aligns the LCC results with other project costs.
The Sparing Model
The Sparing model determines the optimal allocation of the quantity of repairable and consumable spares within a defined logistics support organization, resulting in, minimum inventory requirements to meet desired availability for least spares cost. It handles replaceable units that will drive the Prime Equipment effectiveness and consumables stocking policies for inventory distribution, reorder points and reorder quantities.
The LORA Model
The Level of Repair Analysis (LORA) model, determines the most cost-effective maintenance policy for each replaceable unit of a Prime Equipment. LORA examines the operating and support costs for every disassembly and repair option possible within the specified capability of the Maintenance Organization. After making the initial repair versus discard decision, LORA will select the optimal location for repair of the defective unit.
Availability Assessment Model
OmegaPS Analyzer provides an availability assessment function for the analyst to review the influence of the designed support solution with product usage and availability targets.
Optimize asset maintenance and support solutions by understanding life cycle costs and sustainment resources needed to meet your operational demands