Business Excellence Skillnet

 

Business Excellence Skillnet

We are pleased to be able to offer a limited number of free places for jobseekers on our network programmes

Please click on the following link to check if you meet Jobseekers eligibility criteria;

CLICK HERE TO BOOK NOW

DATES: 20th &21st May

TIME:  9. 00 am – 5.00pm

COST:  €215 per member €295 non member

LOCATION: Shannon

Programme Overview

Modern manufacturing processes are reasonably complex and require constant analysis and fine tuning. A good understanding of basic statistical techniques – commonly and collectively referred to as “Seven Quality Tools” – will help a product operator, a quality technician or a manager to perform these analysis, quickly resolve process problems and hence save the organisation a fortune!This programme will introduce the learner to basic statistical concepts through hands-on real-life practical examples.

 

Programme Objectives

At the end of the course the learner will be able to

  • Select and use the correct tool for analysing quality data
  • Interpret session window and graphical outputs from Minitab
  • Understand basic statistical principles
  • Know how to analyse the variation that arises in manufacturing processes and business
  • Understand the concepts of hypothesis testing and how statistics is used to make process improvement decisions
  • Understand how to establish confidence for the results of data analysis

Know how to obtain sample sizes for hypothesis testing

 

 Programme Content

DAY 1

Graphical Methods

  • Statistical terms and concepts
  • Central Limit Theorem
  • Histograms, Boxplots, Dotplots, Scatterplots, Time Series Plots,Matrix Plots, Pareto etc
  • Process Variation and Measures of Central Tendency
  •  Descriptive Statistics
  • Probability Distributions - normal, t, F, Chi-square, binomial, Poisson
  •  Control Chart Basics

 

DAY 2

  1. Confidence Intervals for means and proportions
  2.  Tests of hypotheses
  • Comparison of means (t-Tests)
  • Proportion Tests
  • Tests for Equal Variances
  •  Non-parametrics tests (Kruskal-Wallis)
  1.  Power and Sample Size
  2. Regression Analysis
  3.  Correlation Analysis
  4. Analysis of Variance (ANOVA)

 

 

Trainer Profile

Simon A. Jege

Simon has a primary degree in Production Engineering, Post-Graduate Diploma in Quality Assurance a Master’s Degree in Computer Systems and a Graduate Diploma in Project Management.

Simon’s experience covers a wide range of industry including medical instrumentation, electronic component manufacture, software development and training. He has extensive experience in Quality Systems Design, Process Design and Control, Statistical and Probabilistic Analysis and Software development for manufacture.

Simon also lectured part time in Statistical Quality Assurance from 1984 to 1995 with Plassey Management and Technology Centre, UL.

Simon is currently a director at Global Business Institute, a Global Partner of the American Society for Quality. At Global Business Institute, he delivers training courses to Quality Engineers, Reliability Engineers, Quality Technicians as well as training in Six Sigma methodology. He is also listed as a Minitab consultant and regularly gets free up-to-date training with Minitab UK.

 

 Target Audience

  • Any personnel who wishes to understand the statistics behind the graphical and numerical outputs from Minitab
  • Engineers, technicians, laboratory, R&D, and scientific staff
  • Process control engineers
  • All personnel involved in quality control
  • Personnel who use process improvement techniques in their work

The Business Excellence Skillnet is funded by member companies and the Training Networks Programme, an initiative of Skillnets Ltd. funded from the National Training Fund through the Department of Education and Skills.

For more information on Skillnets Ltd, please visit www.skillnets.ie

We are pleased to be able to offer a limited number of free places for jobseekers on our network programmes subject to funding being available. Please click on the following link to check if you meet Jobseekers eligibility criteria

Skillnets funded from the National Training Fund through the Department of Education and Skills

 


 

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