Reliability and Maintainability Analysis (RAM) for Asset Management

Learn repairable systems analysis and maintenance planning

Course overview - 4 days

Reliability and Maintainability Analysis (RAM) for Asset Management provides an overview of the ways in which reliability engineering concepts and methods can be applied for repairable systems analysis and maintenance planning. This course sets the foundation for all subsequent ReliaSoft courses.

This course will help you understand how maintenance data analysis methodologies can be applied using ReliaSoft Weibull++, ReliaSoft BlockSim and other platform tools with practical hands-on exercises and case study examples.

Learning objectives

  • Understand methodologies that can be applied for repairable systems analysis
  • Identify critical components (or failure modes) and determine the most effective ways to improve system availability
  • Evaluate potential maintenance strategies and calculate optimum PM intervals and/or overhaul times
  • Use simulation to obtain estimated performance metrics that can facilitate decision-making in a variety of areas, such as scheduling planned maintenance, planning for spares, identifying bottlenecks in production throughput and estimating life cycle costs

Topics included

  • Reliability statistical concepts
  • Reliability data types
  • Reliability metrics
  • Weibull and life distribution analysis
  • Event/maintenance log data analysis
  • Reliability data comparisons
  • Repairable system analysis

  • Concept of renewal process
  • Recurrent event data analysis
  • Reliability block diagrams
  • Simulation for maintainability
  • RAM analysis process
  • Life cycle cost estimation

Who should attend

The Reliability and Maintainability Analysis (RAM) for Asset Management course is for maintenance managers, engineers and technicians that need to understand the role of reliability in asset management and have a need to analyze their equipment life data to improve operational availability.