Duration: 5 days
Course Prerequisites
  • None
Assumes Basic Knowledge Of
  • Undergraduate Algebra
  • Elementary Calculus
  • Probability and Statistics
Alternative/Similar Course(s)
Next Recommended Course
Software Used

Computer Required for Course
Prepare your laptop for the seminar, and familiarize yourself with the software.

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M440 - Reliability and Maintainability Analysis for Repairable Systems

M440 provides an overview of the ways in which reliability engineering concepts and methods can be applied for repairable systems analysis and maintenance planning.

M440 presents concepts and software tools that you could use to help your organization:

  • Understand the array of methodologies that can be applied for repairable systems analysis and determine the approaches that will be most effective for the data you have and the objectives you wish to achieve.
  • Identify critical components (or failure modes) and determine the most effective ways to improve system performance through design improvements and/or maintenance planning.
  • 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.

Course Outline

  • The Role of Reliability Engineering in Maintenance
  • Life Data Analysis
    • Statistical background
    • Commonly used product lifetime distributions and reliability metrics
    • Parameter estimation and confidence bounds
    • Reliability specifications
    • Competing failure modes
    • Comparing data sets
    • Degradation analysis
    • Event/maintenance logs analysis
  • Repairable Systems Analysis
    • Understanding the concept of a renewal process
    • Examining a common mistake in repairable systems analysis and two methods available for proper analysis:
      • Recurrent event data analysis (RDA)
      • Reliability block diagrams (RBDs)
  • Recurrent Event Data Analysis
    • Non-homogeneous Poisson process (NHPP)
    • Non-parametric recurrent event data analysis (using the Mean Cumulative Function, MCF)
    • General renewal process (GRP)
    • What RDA can and can’t do for you
  • Reliability Block Diagrams
    • RBD configurations and their analytic quantification: series, simple parallel, k-out-of-n, complex configurations, load sharing, standby redundancy and other specialized diagram constructs
    • Reliability importance
    • Using simulation for maintainability/availability analysis
    • Restoration factors
    • Determining when preventive maintenance (PM) makes sense and determining the optimum interval
    • Considering crews, spare parts and costs
    • Common metrics and new options for visualizing and improving system availability
    • Introductions to throughput analysis and life cycle cost estimation
    • Introduction to reliability phase diagrams
    • Comparison of RDA vs. RBD
  • Introduction to reliability centered maintenance (RCM)