It identifies high value systems & processes with early benefit achievement through optimization of current material and maintenance planning activities. The process involves modeling of the existing systems and logistic support processes supported by historical reliability and cost information. The development of this risk modeling effort involves:

• Building and applying a baseline model
• Identifying those system components which have a dominant effect on system availability
• Understanding trade-offs among key system components
• Quantifying the relationship among maintenance tasks, spares logistics, and system performance
• Quantifying variability of performance as it relates to maintenance actions and spares logistics and identifying sources of variability with recommendations

• Evaluation of the current processes allowing you to strip non-value-adding steps from your processes, maximizing human and equipment effectiveness
• Users to focus on the business consequences of their decision, before they are applied and become more costly to adjust
• Powerful “what-if” analyses that will lead to:
• Eliminating unnecessary spare parts inventories
• Reducing O& M costs
• Increasing plant capacity
• Comparison of various operational alternatives without interrupting the real system
• Ability to capture system dynamics: using probability distribution, user can model unexpected events in certain areas and understand the impact of these events on the overall process effectiveness
• Identifying critical systems that require RCM-based strategy