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Some examples of the short courses we offer are listed below. Each course is designed for up to six engineers and/or managers with little or no prior experience in the subject area who wish to familiarise themselves with the relevant tools and techniques. Our courses can also be tailored to your particular requirements. Please contact us for further information on any of the courses listed below.

General Introduction to Reliability Engineering

Hazard and Operability Studies (HAZOP)

Overview of Hazard Identification Techniques

Introduction to Failure Modes and Effects Analysis (FMEA)

Failure Modes, Effects and Criticality Analysis (FMECA)

Fault Tree Analysis (FTA) and Event Tree Analysis (ETA)

Availability, Reliability and Maintainability Studies (ARM)

Markov Analysis

Probability Distributions and their Applications

Statistical Analysis

General Introduction to Economic Appraisal 

Software Reliability & Safety


Safety Techniques and Safety Critical Systems

 Logistic Support Analysis (LSA) for Practitioners

 Integrated Logistic Support (ILS) for Managers

MSG-3 Practitioners Course

Getting started in Project Risk Assessment

Earned Value Management - Initial Overview

Benefits Realisation - Planning, Management and Delivery

General Introduction to Reliability Engineering – 5 Days

   
(next course is held on 1st - 5th October  2007)

 

 

Objective:

To introduce the concept of Reliability Engineering and impart sufficient knowledge to the course attendees to allow them to oversee Reliability Engineering contracts and to apply the techniques used within ARM plans to simple systems.

 

 

Course Content: 

General Introduction

 

Probability Theory, Boolean Algebra & Component Reliability Theory

 

Reliability Block Diagrams 

 

HAZOP 

 

Failure Modes and Effects Analysis 

 

Reliability Centred Maintenance

 

Rapid Ranking 

 

Fault Tree Analysis 

 

Event Tree Analysis 

 

Monte Carlo Simulation

 

Engineering applications and examples provided throughout

 

 

   

 Hazard and Operability Studies (HAZOP) – 3 Days

      (contact us for the dates for the next course)

 

 

Objective:

To provide a general understanding of the HAZOP methodology and impart sufficient knowledge to the course attendees to allow them to participate in a HAZOP study of a system with which they are familiar.

 

 

Course Content: 

Introduction to the HAZOP Methodology

 

Role of HAZOP in the Project Life Cycle

 

The HAZOP Technique

 

Preparation for the HAZOP Meeting

 

HAZOP 1 (Preliminary Hazard Analysis)

 

Identification of Nodes or Lines

 

HAZOP 2 (Full HAZOP Study)

 

Follow-Up Actions

 

Report and Documentation

 

Engineering applications and examples provided throughout

 

 

   

Overview of Hazard Identification Techniques – 1 Day

       (contact us for the dates for the next course)

 

 

Objective:

To provide an overview of different techniques that can be used for Hazard Identification, including a brief outline of the approach, suitable applications, preparatory tasks, resource requirements, benefits and limitations.

 

 

Course Content: 

Learning from Past Experience (checklists, codes and practices)

 

Structured Brainstorming Techniques (What If?, Cause and Effect Techniques, Scenario Creation)

 

Hazard Indices

 

Preliminary Hazard Analysis (PHA) and Hazard and Operability (HAZOP) Studies

 

Failure Modes and Effects Analysis

 

SNEAK Analysis

 

Human Error Identification

 

Fault Trees, Event Trees and Cause Consequence Analysis

 

 

 

 

 

 

   

Introduction to Failure Modes and Effects Analysis (FMEA) – 2 Days

       (next course is held on 25th February - 26th February 2008)

 

 

Objective:

To introduce the FMEA methodology and impart sufficient knowledge to the course attendees to allow them to oversee an FMEA carried out by a third party and to discuss the results intelligently.

 

 

Course Content: 

Introduction

 

FMEA Methodology

 

Breakdown of System into Sub-Systems 

 

Functional FMEA 

 

Component FMEA 

 

Engineering applications and examples provided throughout

 

 

   

Failure Modes, Effects and Criticality Analysis (FMECA) – 5 Days

        (next course is held on 25th February - 29th February 2008)

 

 

Objective:

To provide a general understanding of the FMECA methodology and impart sufficient knowledge to the course attendees to allow them to carry out their own FMECA of a system with which they are familiar.

 

 

Course Content: 

Introduction

 

Reliability Block Diagrams 

 

FMEA Methodology

 

Breakdown of System into Sub-Systems 

 

Functional FMEA 

 

Component FMEA 

 

Criticality Analysis 

 

Report & Documentation

 

Engineering applications and examples provided throughout

 

 

   

 Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) – 5 Days

        (next course is held on 3rd - 7th December 2007)

 

 

Objective:

To impart sufficient knowledge to course attendees to allow them to construct their own fault trees and event trees for process systems and to quantify the unavailability or unreliability of those systems.

 

 

Course Content: 

Introduction to Fault Tree Analysis

 

Fault Tree Symbols and Methodology

 

Fault Tree Construction 

 

Fault Tree Reduction 

 

Fault Tree Quantification 

 

Dependent Failures 

 

Event Tree Analysis

 

FTA Software Demonstration

 

Engineering applications and examples provided throughout

 

 

   

Availability, Reliability and Maintainability Studies (ARM) – 5 Days

        (contact us for the dates for the next course)

 

 

Objective:

To introduce the concept of ARM analysis and to impart sufficient knowledge to the course attendees to allow them to apply the techniques used within ARM to simple systems.

 

 

Course Content:  

Introduction to ARM Analysis – Philosophy and Terminology

 

Overview of Reliability Block Diagrams 

 

Introduction to Fault Tree Analysis 

 

Overview of Failure Modes and Effects Analysis 

 

Maintainability Issues

 

The ARM Plan

 

Case Study applying all of the techniques introduced within the course

 

Engineering applications and examples provided throughout

 

 

   
   

Markov Analysis – 3 Days

        (contact us for the dates for the next course)

 

 

Objective:

To provide course attendees with an understanding of the assumptions underlying Markov analysis. At the end of the course the attendees will be able to carry out Markov analysis on simple systems.

 

 

Course Content: 

The memoriless nature of Markov processes

 

Examples of Markov processes

 

Modelling the breakdown and repair of engineering components as Markov processes

 

Discrete Markov processes (Markov chains): the state-space diagram as defined by the states of the system and the transition probabilities between them

 

Deriving the solution of the discrete Markov process

 

Continuous Markov processes and their solution

 

Engineering applications and examples provided throughout

 

 

   

Probability Distributions and their Applications – 3 Days

        (next course is held on 10th -12th March 2008)

 

 

Objective:

To provide course attendees with an understanding of discrete and continuous probability distributions, and examples of how they arise in practice within engineering systems. At the end of the course the attendees will recognise those situations in which random variability occurs, and will be able to fit the most appropriate distribution to any given data set.

 

 

Course Content: 

Probability and what it means

 

“Events” and Boolean algebra

 

Probability arithmetic

 

Probability distributions and how they are defined

 

The mean and standard deviation

 

Discrete distributions: Geometric, Binomial and Poisson

 

Continuous distributions: Normal, Exponential and Weibull

 

The Chi-Square distribution and goodness-of-fit test

 

Engineering applications and examples provided throughout

 

 

   

Statistical Analysis – 5 Days

         (next course is held on 21st - 25th January  2008)

 

 

Objective:

To provide an appreciation of how statistical analysis can assist the engineer, covering the most useful techniques in practice, and engineering examples of their application. At the end of the course the attendees will understand the type of question that statistical analysis addresses, comprehend statistical statements, recognise those situations in which statistical analysis may be applied, and be able to identify the most appropriate type of statistical analysis in a given situation.

 

 

Course Content: 

Statistical analysis, what it means, and examples of its engineering applications

 

The type of question statistical analysis addresses, and the range of techniques available

 

The expectation operator

 

The concept of unbiasedness

 

Estimating the mean and variance of a distribution