Price: $2,499.00

Length: 3 Days
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Risk and Reliability Engineering Training by Tonex

Risk and Reliability Engineering Training covers the principals and techniques of risk and reliability analysis to develop the required skills by exercising practical tools. This training course focuses on the fundamental concepts and methodology of risk and reliability studies.


Learn About

  • Fundamentals of risk and reliability engineering
  • Risk management process
  • Mathematics for risk analysis
  • Basic probabilities
  • Combined probabilities.
  • Systems modeling using Reliability Block Diagrams
  • Quantitative reliability analysis
  • Introduction to MCS
  • Reliability, Availability, Maintainability (RAM)
  • Risk control and decision support systems
  • Failure consequences
  • Introduction to stochastic modeling
  • Insurance of engineering applications
  • Risk analysis of big-projects
  • Regulations/standards/ hazards assessment
  • Asset integrity management
  • Inspection and Structural Health Monitoring (SHM)

TONEX Training Framework

  • Risk and Reliability Engineering Training includes labs, group activities, and hands-on workshops
  • The course is half lecture and half practical exercises
  • Students can bring in their own projects to work on during the practical section of the class


Risk and Reliability Engineering Training is a 3-day course designed for:

  • Mechanical, process, and energy engineers
  • Production engineers
  • Surface facilities Engineers
  • Reliability Engineers
  • Maintenance Engineers
  • Plant managers
  • General managers
  • Quality managers
  • All individuals involved in maintenance and reliability management strategies and tasks

Training Outline

Upon the completion of risk and reliability engineering training, attendees are able to:

  • Decide which strategy is required to accomplish optimum performance and reliability
  • Articulate the risk reduction model, connecting maintenance to these risks
  • Explain the relationship between maintenance and safety, profitability, and asset life
  • Understand several methods of component and system reliability and risk analysis
  • Analyze risks as used to various engineering standards and their related outcomes and suggested ways to mitigate risk
  • Evaluate risk both quantitatively and qualitatively
  • Collect and analyze data to control risk and apply them in Risk Based Maintenance Management
  • Establish an organized information of the basis of risk management and reliability engineering, and a crucial knowledge of their usage on the associated engineering problems
  • Assess and select the most suitable methodology for risk analysis (qualitative and quantitative), failure consequences analysis, and methods for control/mitigation through decision support systems and other techniques
  • Derive a crucial and logical technique to the gathering and stochastic modeling of data to apply in the Quantitative Risk Assessment (QRA) methods
  • Establish a thorough comprehension of the development and applying the standards and asset integrity management

Course Outline


  • Basic Concepts
  • What is Risk?
  • Risk analysis
  • System boundaries
  • Uncertainty and modeling
  • What is reliability?
  • Reliability engineering
  • What is uncertainty?
  • Uncertainty management
  • Asset life cycle economic analysis
  • Deterministic model
  • Probabilistic model
  • Risk-based life cycle economic analysis

Introduction to Risk Analysis

  • Risk identification and assessment
  • FMEA
  • PrHA
  • Assessing and managing risk
  • QRA
  • Risk acceptance
  • Consequence and targets
  • Decision analysis
  • Risk communication

Structural Systems

  • System breakdown
  • Contributing factor diagrams
  • Decision trees
  • Influence diagrams
  • Process systems and modeling methods

Integral Reliability

  • Concept
  • Applications and Benefits
  • Integral reliability implementation steps
  • Integral reliability toolkit
  • Disciplines
  • Methodologies

Statistics for Risk and Reliability Analysis

  • Fundamental Terms
    • Probability
    • Population
    • Sampling
    • Descriptive statistics
    • Random Variable
  • Descriptive statistics
  • Sample statistics
  • Histograms
  • Histograms formats
    • Relative frequency
    • Histogram
    • Direct cumulative frequency histograms
    • Inverse cumulative frequency histograms
  • Statistics
    • Sample mean
    • Sample mode
    • Sample standard deviation
    • Percentiles
  • Using Excel for sample statistics
  • Population statistics
  • Probability distribution models
  • Probability distribution formats
    • Pdf
    • CDF
    • Inverse CDF
  • Statistics of probability distributions
    • Mean
    • Mode
    • Median
    • Standard Deviation
    • Percentiles
  • Well-known probability distribution models
  • Using Excel for population statistics
  • Sample to population statistics
  • Probabilistic characterization
  • Goodness of fit tests
  • Statistics for risk and reliability analysis
  • Solving mathematical models (equations) random variable input parameters
  • Sampling from a random variable
  • Monte Carlo Simulation
  • Using Excel for Monte Carlo simulation
  • Using Crystal Ball for Monte Carlo simulation
  • Probabilistic dependence
  • Correlated random variables
  • Correlation factor
  • How to consider probabilistic dependence in Monte Carlo simulation
  • Applying Crystal Ball to consider probabilistic dependence in Monte Carlo simulation
  • Sensitivity Analysis
  • Contribution to variance analysis
  • Tornado and Spider charts
  • Applying Crystal Ball for sensitivity analysis
  • Uncertainty management

Risk Control

  • Objective
  • Risk aversion
  • Insurance for loss control and risk transfer
  • Risk actuaries and insurance claim models
  • Cost-benefit analysis

Risk Based Maintenance Management

  • Inspection and maintenance methodology
  • Development of optimal maintenance policy

Quantitative Reliability Assessment

  • Definition of fundamental reliability problem
  • Numerical methods
  • Statistical distributions
  • Monte Carlo simulation

Empirical Reliability Analysis

  • Failure and repair
  • Availability
  • Reliability
  • Failure Rates
  • Hazard functions
  • Reliability models
  • Assessment of hazard functions
  • Exponential distribution

Principles of Production Processes Reliability Analysis

  • Reliability, Availability and Maintainability (RAM) analysis
  • Samples data for RAM Analysis of repairable items
  • Up-Time Data (Failure Data and Censored Data)
  • Down Time Data
  • Probability distribution for up -time samples in repairable items
  • Probability distribution for down-time samples in repairable items
  • Methodology for availability and expected number of failures calculations for repairable items
  • Availability and expected number of failures calculations
  • Sources of data for reliability analysis
  • Evidence, expert opinion, generic data
  • Various sources of data combination
  • Bayes Theorem
  • Combining generic data with evidence
  • Combining expert opinion with evidence

Reliability Analysis of Systems

  • Systems in series
  • Parallel and mixed
  • k-out-of-n systems
  • Embedded redundancy

Failure Consequences and Severity

  • Assessment Methods
  • Cause-consequence diagrams
  • Functional modeling
  • Real asset damage
  • Loss of human life
  • Indirect losses
  • Public health and environmental damages

Principles of Financial Analysis

  • Terminology
  • Life time of an investment
  • Projected Cash Flow
  • Discount rate
  • Financial indicators
  • Net present value
    • Deterministic Model
    • Probabilistic Model
  • Annualized Present Value
    • Deterministic Model
    • Probabilistic Model

Principles of Risk Analysis

  • Basic terms and definition
  • Undesired events
  • Risk concepts
  • Risk analysis
  • Dimensioning risk
  • Basic model
  • Qualitative and semi-quantitative methods for risk analysis
  • Quantitative Risk Analysis (QRA)

Risk Based Asset Economic Life Cycle Analysis

  • General model
  • Monte Carlo calculation of NPV
  • Sensitivity analysis of probabilistic NPV
  • Determining the risk mitigation actions portfolio
  • Comparing investments options – risk / profitability matrix

Root Cause Analysis (RCA)

  • Process efficiency
  • Work and its value
  • Manufacturing and service industries
  • The Systems approach
  • The impact of efficiencies on resources
  • Maintenance

Process Function

  • The Functional Approach
  • The Functional Block Diagrams (FBD)
  • Failure Mode and Effect Analysis (FMEA)
  • Effective Planning
  • Prevention of failure or mitigation of consequences

Reliability-Centered Maintenance

  • Frequency or Severity
  • Reliability Block Diagrams and Mathematical Modeling
  • Fault Tree Analysis (FTA)
  • Root Cause Analysis (RCA)
  • Total productive maintenance
  • Reliability-centered maintenance
  • Compliance and risks

Improving Systems Effectiveness

  • System effectiveness
  • Integrity and system effectiveness
  • Managing hazards
  • Reducing risks
  • Communicating risk reduction plans
  • Maintenance as an investment

Regulations, Standards, Hazards Assessment

  • Safety engineering
  • Learning from accidents
  • Human factors
  • Regulations
  • Fire and explosions risk analysis

Risk and Reliability Engineering Training

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