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Statistical and Analytical Techniques

Objective To train participants to use a variety of statistical analytical tools and techniques that can be used to generate continuous improvement.
Benefits
  1. The feedback loop in the continuous improvement cycle will be closed through effective interpretation of data.
  2. Derive skills in how to effectively use statistical analysis tools to solve problems.
Who Should Attend? All Personnel who are involved in business process control and are required to proactively identify gaps between the budgeted and actual performance to achieve continuous improvement.
Course Outline Introduction to theoretical and practical aspects of Data Analysis using a variety of analytical techniques for problem solving, including using Microsoft Excel data analysis tools.

Welcome and Introduction

Welcome and introductions
Course content
Brief history of maintenance
The need for statistical measurement and analytical techniques
What to analyse
The maintenance process

Collection and Display of Data

Summary of data to collect
Organising and displaying data
Samples and population
Activity sampling

Data Analysis using Analytical Techniques

Summary statistics
Box and whisker plots
Scattergrams and correlation
Pareto analysis

Process Analysis using Analytical Techniques

Flow charts
Process mapping
Fault tree diagrams
Cause and effect analysis

Measuring and Displaying Variation

Variables and variation
Controlled variation
Uncontrolled variation
Run charts
The normal (Gaussian) distribution
Histograms

Calculation of Process Capabilities

Capability study
Capability ratio
Procedure for a capability study
Interpreting the result

Control Charts

Recap of normal distribution
Control limits
Interpreting the control chart
Plotting time to failure

Failure Data Analysis

Failure data to predict reliability
Probability density functions
Weibull distributions
Weibull example

Examples of Statistical Applications in Maintenance

Replacement
Inventory
Key Performance Indicators and process control

Downloads:

For more detailed information please contact the Rylson Group via training@rylson.com.au or freecall 1800 245 237