Reliability (RAM) Evaluations

Reliability - Availability – Maintainability (RAM) predictive modeling is a critical asset management technology for assessing future system performance and life-cycle costing. The main objective of RAM analyses is to provide a quantitative approach to optimizing process systems and component performance. Our proprietary software tools are available for performing RAM analyses using either Monte Carlo simulation or analytical methods.

Simulation modeling provides a quantitative approach to help understand complex processing inter-dependent systems, including:

• Projected failure rates

• Design redundancy issues

• Intermediate product tankage sizing

• Preventive maintenance policies

• Spares inventory optimization

• Logistical and operating decisions

• Ageing considerations