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Six Sigma Black Belt

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Course Description

Six Sigma emphasizes quality improvement, but is more than just statistics and tools. The Six Sigma methodology is a systematic application that is focused on achieving bottom line financial improvements and increasing customer satisfaction. When properly applied on carefully selected business projects, Six Sigma can lead to significant reduction in, and often eliminates altogether defective and out of control processes. That improvement translates directly to immediate and dramatic financial profitability.

The Six Sigma Black Belt course provides a comprehensive and disciplined model for improvement. Black Belt trained employees are able to lead Six Sigma projects, apply the concepts, obtain maximum improvement benefits and meet the improvement objectives of their organisation.

This course is conducted in four, 5 day sessions with four weeks approximately between sessions. Each participant is expected to complete or partially complete a Six Sigma DMAIC project that has the potential to deliver real improvements of $50,000 or more to the sponsoring organisation.

Learning Objectives

Course Agenda

The instructional goals of the Week One - Measure Phase are:

  1. The participant applies the tools learned to their particular training project.
  2. The foundations and basic concepts of six sigma are understood by the participant.
  3. The language and statistics of six sigma are developed.
  4. The methodology and discipline of business excellence are taught and applied.
  5. Basic statistical tools are taught and applied.
  6. Critical process characteristics are identified.
  7. The participant is trained to define and map the respective process.
  8. The participant must be able to benchmark, calculate and establish short-term and long-term process capability.
  9. The participant must derive process data in order to measure and evaluate the process.
  10. The measurement system must be validated.

The supporting course agenda for Week One - Measure Phase is:

  1. Six Sigma Overview

  2. Introduction to Igrafx

  3. Project Reviews

  4. Process Mapping

  5. Failures Modes and Effects Analysis

  6. Introduction to Minitab

  7. Process Simulation

  8. Probability

  9. Basic Statistics

  10. Non Normal Data

  11. Rolled Throughput Yield

  12. Process Capability

  13. Gage R & R

  14. Graphical Analysis

  15. Program and Training Requirements

 The instructional goals of the Week Two - Analyze Phase are:

  1. The participant applies the tools learned to their particular training project.

  2. Collect data to determine relationships between variable factors in order to determine direction of improvements.

  3. Data is analyzed to assess prevalent patterns and trends.

  4. The process is measured to determine capability.

  5. Root causes of variation are identified.

  6. Analyze performance characteristics to determine physical limit of process capability.

  7. Analyze data to identify process behavior, capability, and stability over a long term.

  8. Understand the theory of sampling and hypothesis testing.

  9. Apply key statistical tools used in hypothesis testing.

  10. Identify and leverage dominant sources of variation.

  11. Establish realistic process performance tolerances.

The supporting course agenda for the Week Two - Analyze Phase is:

 

  1. Review of Week One

  2. Central Limit Theorem

  3. Confidence Intervals

  4. Project Reviews

  5. Power and Sample Size

  6. Multi-Vari Analysis

  7. Hypothesis Testing

  8. Correlation and Regression

  9. Logistic Regression

  10. Analysis of Variance (ANOVA)

  11. ANOVA Gage R & R

  12. Week Two Deliverables

  13. Week Two Exercises

  14. Program and Training Requirements

 The instructional goals of the Week Three - Improve Phase are:

 

  1. The participant applies the tools learned to their particular training project.

  2. Process characteristics and variables that must be improved are identified through statistically derived tools.

  3. Process characteristics are diagnosed in order to reveal major sources of variation.

  4. The participant understands the basic principles of experimentation.

  5. Plan, design, and execute multi-variable experiments.

  6. Interpret and communicate the results of the experiment.

  7. Determine direction to create the desired change.

The supporting course agenda for the Week Three - I Improve Phase is:

 

  1. Review of Week Two

  2. Introduction to Design of Experiments

  3. Project Reviews

  4. Randomized Blocks

  5. Full Factorial Designs

  6. 2k Factorial Experiments

  7. Fractional Factorial Experiments

  8. Week Four Deliverables

  9. Catapult Exercise

  10. Exercises and Solutions

  11. Program and Training Requirements

 

The instructional goals of the Week Four - Control Phase are:

 

  1. The participant applies the tools learned to their particular training project.

  2. Understand the basic concepts of process control.

  3. New process conditions are documented and monitored via statistical control methods.

  4. Process control is focused on a priori (before the fact) control.

  5. Construct, use, and maintain charts for variables and attribute data.

  6. Implement and maintain pre-control plans.

  7. Plan and implement process control systems.

The supporting course agenda for Week Four - Control Phase is:

  1. Week Three Review
  2. Response Surface

  3. Project Reviews

  4. Evolutionary Operation

  5. Statistical Process Control

  6. Pre-Control

  7. ISO 9000/Baldrige/Six Sigma Synergies

  8. Mistake Proofing

  9. Control Plans

  10. Lean Enterprise

  11. Non-Parametric Statistics

  12. Mixture Designs

  13. Statistical Tolerancing

  14. Design for Six Sigma (DFSS)

  15. Review Question Solutions

  16. Program and Training Requirements

Bonus: Attendees can apply for credit for 1 course in the Master of Business Administration program at UniSA.

Have your own enterprise specific training delivered in-house

PRICING

 

Attendance is offered at $11,000 per person for the 20 day  program including certification exam, with a 10% discount to UniSA Graduates or Early Bird registration discount.

Contact us to discuss our special corporate rates for customised training to suit your organisation's culture, business sector and improvement strategy

Early Bird Registrations due by COB Friday 13 July 2012

industry workers

For more information.

Black Belt Brochure

Black Belt Course (PDF, 520kb) download Adobe Acrobat Reader

Black Belt articles and Knowledge Reference

ASQ Article by Roger Hoerl - What do black belts need to know? (PDF, 755kb)

Registration and Schedule

2012 Black Belt Public Course

Week 1: Monday 13 August - 17 August 2012

Week 2:  Monday 3 September - Friday 7 September 2012

Week 3:  Monday 12 November - Friday 16 November 2012

Week 4:  Monday 3 December - Friday 7 December 2012

Six Sigma Black  Belt Schedule

Please register your interest by phone or email to either person shown below.

Course Registration Form

Six Sigma Registration Form (PDF, 66kb) 

UniSA Contacts for Six Sigma Training

Sandra Walker +61 8 8302 0801 Sandra.Walker@unisa.edu.au

Peter Crossman +61 8 8302 0633 Peter.Crossman@unisa.edu.au

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