The Problem: Safety / mission critical systems are selected on the combination of technical capability with the projected total cost of ownership for the solution. To successfully bid for these projects, OEMs must establish and justify the expected lifecycle costs for their solution based on inter-dependent decisions on the design configuration, expected usage cycles and operating environments, and the recommended maintenance approach. This process should also generate data to support a range of specific metrics to enhance the bid (e.g. Maintenance Cost per Operating Hour, MTBM, etc.).
Solution: A decision support solution (process and tools) that integrates the analysis capabilities required to determine the costs of alternate maintenance approaches to ensure Availability and Safety. To ensure the accuracy of the budget estimation for a proposal, the solution must be practical and cost effective for system engineering and extensible across the design process. This requires model based (digital) simulation with standardized analysis workflows and data structures, a high degree of automation, and the ability to integrate with related engineering applications (e.g. PLM). Ideally any model developed in the bid process should be readily extensible into design / sustainment analysis across the lifecycle.
A model-based estimation process for availability & cost projections that aligns with the systems engineering / concept design phase to establish and validate maintenance & life cycle costs for a project proposal, this requires the ability to:
MADe enables the user to rapidly model solution functions, risks and reliability to:
MADe uses a combined simulation model of the asset to compare alternate sustainment operating concepts. The model supports the following validation outcomes: