Course Content 
Expand+This module will introduce the learner to the Six Sigma DMAIC (Define, Measure, Analyse, Implement and Control) problem solving methodology. This module is aimed at gaining an ASQ yellow belt qualification and will also include some of the materials ...
HideThis module will introduce the learner to the Six Sigma DMAIC (Define, Measure, Analyse, Implement and Control) problem solving methodology. This module is aimed at gaining an ASQ yellow belt qualification and will also include some of the materials appropriate to gaining an ASQ green belt qualification. Through the completion of the module, learners will understand the structure and functioning of six sigma project teams, the roles of different team members and how they work in an advanced manufacturing environment.
Qualification
Introduction to Six Sigma DMAIC Problem Solving Methodology

Subjects Taught 
Expand+What modules will I study?
This short programme is to introduce those with a Level 6 standard of knowledge into the area of Six Sigma and problemsolving methodology. The content is set at American Society of Quality Green belt level and will includ...
HideWhat modules will I study?
This short programme is to introduce those with a Level 6 standard of knowledge into the area of Six Sigma and problemsolving methodology. The content is set at American Society of Quality Green belt level and will include content from that highly regarded industry standard.
Course Content:
Introduction to Lean Manufacturing
Purpose of lean manufacturing, lean concepts and tools (justintime, pokayoke, Kanban, process mapping, value stream mapping, 5S, Kaizen, kaizen blitz), Deming's wheel of continuous improvement (PlanDoCheckAct); value add and nonvalue add activities; root cause analysis.
Introduction to Six Sigma
DMAIC methodology; project selection; voice of the customer; critical to quality (CTQ) characteristics; quality function deployment (QFD); SIPOC diagrams; design for six sigma (DFSS); six sigma team rols and responsibilities; six sigma metrics (defects per units(DPU)), defects per million opportunities (DPMO), rolled throughput yield (RTY), cycle time and cost of poor quality (COPQ); cost analysis.
Introduction to Six Sigma Project Management
DMAIC methodology; project selection; voice of the customer; critical to quality (CTQ) characteristics; quality function deployment (QFD); SIPOC diagrams; design for six sigma (DFSS); six sigma team roles and responsibilities; six sigma metrics (defects per units (DPU), defects per million opportunities (DPMO), rolled throughput yield (RTY), cycle time and cost of poor quality (COPQ); cost analysis.
Team Tools and Communication
Brainstorming; nominal group technique; flowcharts, check lists, effective communication techniques; presentation skills and writing, project status reports, multivoting, use of agendas and meeting minutes.
Descriptive Statistics
Rules for collecting data; types of data (qualitative and quantitative, attribute and variable); data collection techniques (surveys, interviews, check sheets); measures of central tendency (mean, trimmed mean, median, mode); measures of variation (range, variance, standard deviation); measures of relative standing; graphical analysis tools (bar charts, histograms, pie charts); basic statistical tools (pareto charts, scatter diagrams, run charts, box plot, stem and leaf plot).
Introduction to Inferential Statistics
Application of statistical techniques in precision engineering; probability distributions (normal and binomial); empirical rule; central limit theorem; random variables; common cause and special variation; Minitab; design, utilise and interpret statistical process control charts; process control charts for continuous data (XBar &R, XBar & S and IMR); process control charts for attribute data (c,u,p and np), process capability indices (Cp, Cpk, Pp, Ppk), introduction to hypothesis testing (1 Sample ZTest, 1 Sample TTest, 2 Sample TTest, Paired TTest); power; simple linear regression and correlation.
Measurement Systems Analysis
Gauge reliability and reproducibility, linearity and bias, gauge R&R for destructive testing, attribute gauge R&R study, precision tolerance ratio (P/T).
