Used by a huge array of companies around the world, Six Sigma is a process improvement methodology that offers powerful strategic stools for business transformation. At this level of your career, you will be leading problem-solving projects and possibly training and coaching project teams. Completing this certificate will prepare you for the Six Sigma Certification Exam, which will enable you to progress through the other stages of the Six Sigma program.
In this project management course, you will study Six Sigma and ‘Lean’ methodologies, undertake a Kaizen Blitz project, and learn about Six Sigma data collection, hypothesis testing, performance metrics and the importance of the Voice of the Customer.
You will also learn about DFSS tools, IDOV and DMADV methodology stages, RPN calculations and FMEA, DFMEA and PFMEA characteristics and processes.
On completion of this course, you will be able to assist with data collection and analysis, perform high-level project and team leadership, and provide strategic advice within the context of an organisation’s culture and vision.
Unit 1 - FMEA and design for Six Sigma
Using DFSS tools for a project
Similarities between DFSS and Six Sigma
IDOV methodology stages
DMADV methodology stages
FMEA types, characteristics and process steps
FMEA process steps
Risk priority number components
DFMEA and PFMEA worksheets and differences
Unit 2 - Six Sigma Projects
Identifying Six Sigma projects
Six Sigma readiness assessment questions
Calculating a priority score for a given project
Six Sigma methodologies
Using a cross-functional process improvement team
Understanding variables when conducting a Six Sigma project
Process owner on a Six Sigma project
Lean principles in Six Sigma projects
The lean and six sigma methodologies
Matching lean tools with the six sigma stages
The five laws of lean
Lean concept descriptions
The lean process steps and tools
Service organisation characteristics
Organisational objectives, improvement goals
Theory of constraints measurement formulas
Classify activities according to their value
Different types of waste in an organisation
Value stream map information
Icons used in a current and future state map
Applying lean principles in a six sigma project
Unit 3 - Management and planning tools for Six Sigma
Using and creating matrix diagrams
Process decision program charts
Activity network diagrams
Six Sigma planning and management tools
Unit 4 - Organisational goals and Six Sigma
Implementing Six Sigma into an organisation
Key characteristics of Six Sigma
Transfer function process
Continuous improvement methodologies
Assessing an organisation’s readiness for a Six Sigma project
Establishing linkages and supports with the organization’s goals
Components of a business process
Core and support processes
Business process relationships
Key business drivers
Balanced scorecard perspectives
Unit 5 - Six Sigma control charts
Basic concepts and types of control charts
When to use an Xbar-R, Xbar-s, or median control chart
Special cause variations in data by analyzing an Xbar-R chart
Xbar-s control chart
Cause variation in data by interpreting an ImR chart
Using data on control charts
Unit 6 - Six Sigma cycle-time reduction and Kaizen Blitz
Calculating cycle time and takt time
Cycle time reduction
Single-minute exchange of dies (SMED) method
Types of Kaizen event for a given project
Daily activities of a Kaizen blitz
Implementing Kaizen into an organization
Cycle time reduction and process improvement tools and techniques
Unit 7 - Six Sigma Data Classification, Sampling, and Collection
Types of data classifications
Type of measurement scale
Principles of data sampling
Automated data collection
Technologies used for data collection
Creating a data collection plan
Types of check sheets
Data coding methods
Six Sigma improvement initiatives
Unit 8 - Six Sigma Design of Experiments
Benefits and elements of design of experiments
Types of experimental error
Characteristics of balanced design
Benefits of randomization
Replication and repetition
Full and fractional factorial designs
Interpreting main effects plots
Unit 9 - Six Sigma exploratory data analysis
Characteristics of a multi-vari analysis
Guidelines for creating sampling plans
Types of variation
Correlation analysis in Six Sigma
Characteristics of causation
Statistical significance of a correlation coefficient
Using linear regression during data analysis
Simple least-squares linear regression formula
Six Sigma exploratory data analysis tools and techniques
Unit 10 - Six Sigma hypothesis testing fundamentals
Hypothesis testing and concepts
Best practices when establishing hypothesis testing results
Confidence intervals are used in hypothesis testing
Using a margin of error formula
Distinguish between t- and z-tests
Unit 11 - Six Sigma hypothesis tests for variances and proportions
Types of hypothesis tests
Critical value method
T-test using the p-value method
ANOVA concepts and test results
Testing for variances and proportions
Unit 12 - Six Sigma measurement systems analysis
Accuracy and precision
Types of correlation and variation
Performing a GR&R study
Gauge repeatability and reproducibility study
Precision to tolerance ratio
Best practices in conducting a bias study
Calculate and interpret bias
Attributes of linearity
Calculate linearity and interpret a linearity plot
Measurement systems analysis tools and techniques
Unit 13 - Six Sigma Performance Metrics
Performance measurement approaches
Calculating defects per unit (DPU)
define rolled throughput yield (RTY)
distinguish between FTY and RTY
Calculating Cp and Cpk
Cost of poor quality (COPQ)
Using performance metrics for planning Six Sigma projects
Unit 14 - Six Sigma Probability and Statistical Distributions
Common probability terms
Types of variables
Cumulative probability from the z-value
Using a binomial distribution effectively
Using poisson distribution effectively
Six Sigma probability and statistical distributions
Unit 15 - Six Sigma Process and Performance Capability Measurement
Process limits and specification limits
Process capability study
Determining stability of a process
calculate the Cp and Cpk of a given process
calculate the Pp and Ppk of a given process
Using a Cpm index
Six Sigma capability and performance indices
Unit 16 - Six Sigma Process Control Tools
Total Productive Maintenance (TPM)
Common jidoka devices
Clarify targets for improvement
Total productive maintenance
Unit 17 - Six Sigma Project Management Essentials
Project charter elements
Creating Pareto chart
Using planning tools
Using Gantt charts
Using the PERT formula
Key risk analysis activities
Project closure activities
Key project planning tools and techniques
Unit 18 - Six Sigma Process Documentation and Analysis
Process map types and symbols
Creating and interpreting a process map
identify elements of a procedure document
recognise characteristics of work instructions
Six Sigma process modeling, mapping
Unit 19 - Six Sigma Root Cause Analysis and Waste Elimination
Root cause analysis
5 Whys process
Characteristics of the 5S method and principle
Types of poka-yoke
Six Sigma root cause analysis and waste reduction tools and techniques
Unit 20 - Six Sigma Statistical Process Control Basics
Statistical Process Control
Key elements and types of control charts
Common cause or a special cause variation
Choosing variables to study
Determining subgroup sizes
Using Statistical Process Control (SPC) to sustain improved processes
Unit 21 - Six Sigma Statistics and Graphical Presentation
Descriptive and inferential statistics
Implications of the central limit theorem
Tools for inferential statistics
Measures of central tendency and distribution
Frequency distribution tables
Calculating cumulative frequency distribution
Correlation patterns in a scatter plot
Six Sigma statistics and graphical methods
Unit 22 - Six Sigma Voice of the Customer
VOC and VOB perspectives
Implementing a VOC strategy in a Six Sigma project
Types of customers
identify potential effects of projects on customers
Customer data in a Six Sigma project
Data collection tools
Bias and error
Types of customer requirements
Phases of QFD
Voice of the customer in relation to Six Sigma projects
Unit 23 - Team Dynamics and Performance for Six Sigma Projects
Identify the types of teams typically used on Six Sigma projects
Stages of team evolution
Six Sigma organisational roles
Six Sigma roles and responsibilities
Solve interpersonal issues
Excessive team cohesion
Managing team meetings
Managing Six Sigma team dynamics
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If you do not achieve a competency result on your first attempt, you have two more attempts to pass your assessment. So, you have three attempts in total to obtain a competency result.
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In this course, you will be assessed via multiple-choice questions to determine your mastery of details and specific knowledge gained during your studies to achieve a ‘competent’ or ‘not yet competent’ result.
Benefits of Multiple-Choice Assessments
Appropriate for assessing students’ mastery of details and specific knowledge.
Can be used to assess both simple knowledge and complex concepts.
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How long will it take to complete this course?
The approximate study hours for this course is 30 hours. We offer twelve (12) months’ access, with extensions available upon application (fees apply).
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Learn to be able to support project teams on high-level problem-solving tasks, fine-tune your analytical skills and business acumen and enhance your professional career credibility.