- Six Sigma Courses
- 107 hours
Objectives
Participants will learn how to apply statistical methods for business process improvement, including how to:
- Communicate the benefits of Six Sigma as a business strategy across the organisation.
- Align with management in the deployment of Six Sigma.
- Build a successful infrastructure for Six Sigma deployment.
- Integrate Six Sigma with other improvement methods.
- Select successful Six Sigma projects and project teams.
- Significantly increase profitability through Six Sigma projects.
Duration
3 weekdays (Monday, Wednesday, Friday) | 7pm – 10pm | 4 months | 107 hours
Who Should Attend
Quality and / or Training Coordinators; Engineers, Business Unit Managers, Program Managers and other practitioners / change agents who will be conducting Six Sigma projects; Individuals interested in having certification for Black Belts.
Entry Requirement
Diploma or Degree holders with relevant working experience; and possess Project Management Skills; Analytical Skills. Participants must have at least one potential project for execution, and possess Basic Skills in MS Excel and Power Point applications.
Assessment Method
Written examination – held approximately 4 weeks from end of course
Project assessment – within 2 years from commencement date of study
Course Fees
Member Fee: $5,933.52
Non-Member Fee: $6,566.64
All fees stated are inclusive of Registration Fee, Exam & Certification Fees & 9% GST.
Course Content
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ENTERPRISE DEPLOYMENT
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Enterprise View, Leadership
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Organisational Goals & Objectives, History of Organisational Improvement
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BUSINESS PROCESS MANAGEMENT
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Process vs Functional View
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Voice of Customer, Business Results
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Process Performance Metrics, Benchmarking, Financial Benefits
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PROJECT MANAGEMENT
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Project Charter and Plan, Team Leadership
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Team Dynamics and Performance, Change Agents
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DEFINE
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Project Definition / Scope / Selection
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Metrics, Problem Statement
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MEASURE
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Process Analysis & Documentation
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Minitab Software Application
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Probability & Statistics
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Collecting & Summarising Data using Minitab
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Properties & Applications of Probability Distributions
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Measurement Systems Analysis
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Analysing Process Capability
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ANALYSE
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Hypothesis Testing
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ANOVA
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Non-Parametric Test
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Multivari Chart
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Simple Linear Regression
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Multiple Regression
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IMPROVE
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Full Factorial Design of Experiment (DOE)
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Fractional Factorial Design of Experiment
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Response Surface Methodology (RSM)
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Evolutionary Operation (EVOP)
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CONTROL
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Statistical Process Control
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Advanced Statistical Process Control
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Lean Tools for Control / Measurement System Re-Analysis
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LEAN ENTERPRISE
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Lean Concepts
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Lean Tools
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Total Productive Maintenance
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DESIGN FOR SIX SIGMA
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Introduction, Quality Function Deployment
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Robust Design & Process, Failure Mode & Effects Analysis
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Design for X, Special Design Tool
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PROJECT BRIEFING
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Project Briefing
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