| Objective |
To train participants to use a variety of statistical analytical tools and techniques that can be used to generate continuous improvement. |
| Benefits |
- The feedback loop in the continuous improvement cycle will be closed through effective interpretation of data.
- Derive skills in how to effectively use statistical analysis tools to solve problems.
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| 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.
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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
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