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Six Sigma Training in south west ontario

 

 Classes Start:     April, 2010

 

Duration:            10 weeks (one day per week) + 4 on-site visits

 

Location:            London, ON

 

Cost:                   $9,500

 

Contact:    Don Whitred (519-667-1720  or  dwhitred@pqa.net)

 

Course Highlights

     Ten classroom sessions (one session every week over a 10-week period), and four one-on-one 1/2-day sessions

     Each of the six sigma tools are reinforced with practical examples (customized  case studies) and exercises that allow the trainees to gain a more in-depth understanding of the subject matter.

     Trainees will be taught how to apply PQAs Six Sigma procedure at each of the 5 major steps in the six sigma DMAIC process.

     Trainees will work on your own six sigma improvement project, applying the techniques to a real problem from your work place. During the week between classroom sessions, you will apply what you learn in class to your project and bring it back to the classroom to review & discuss with the trainer and the other trainees.

     As part of the training, a PQA consultant will visit the trainee at their organization to review their progress with the project, and provide one-on-one guidance in selecting the appropriate tools & techniques. This is typically four, -day sessions for each trainee over the duration of the training course (additional help can be provided if required).

     Each trainee will receive their personal copy of Minitab Statistical Software (a $1,500 value)

     Trainees will receive a Six Sigma Manual and training certificate

     Refreshments & lunch provided at each of the 10 classroom sessions

 

Course Outline

A. Mini-Tab Overview Training

1.         This is an introduction to Mini-Tab statistical software. The focus will be on how to use the common features in Mini-Tab that are used with all of the statistical techniques. Training in how to use Mini-Tab for each specific statistical technique will be done throughout the balance of the training sessions when the statistical technique is taught.

B. Define

1. System Definition

a. Purpose

(1) To agree on aim, size, scope of the project

b. Outcomes

(1) System description

(2) Project statement

c. Tools

(1) Business Case

(2) SIPOC Analysis

(3) Voice of the Customer Analysis

 

C. Measure

2. Assess Current Situation

a. Purpose

(1) To have current & ongoing knowledge of the systems performance by gathering data on each quality measure

b. Outcomes

(1) Data (check sheets and/or run charts)

(2) Control chart for each quality measure

(3) Assessment of system stability

(4) Action on special causes of variation

(5) Stratification of data

c. Tools

(1) Six Sigma Metrics

(2) Process Mapping

(3) YX Diagram

(4) Failure Mode & Effects Analysis (FMEA)

(5) Value Stream Mapping (VSM)

(6) Capability Analysis

(7) Measurement System Analysis (MSA) - GR&R

 

D. Analyze

3. Analyze Common Causes

a. Purpose

(1) To identify possible common causes of sub-optimized system performance

(2) To verify causes and identify the most significant root causes

(3) Use statistical techniques to examine potential variables affecting the outcome

(4) To generate improvement theories

b. Outcome

(1) Improvement theories to be planned & tested in the next section

c. Tools

(1) Data Demographics

(2) Multi-Vari Studies

(3) Planning & Overview

(4) Central Limit Theory

(5) Hypothesis Testing for Continuous Normal Data

(6) Hypothesis Testing for Non-Normal Continuous Data

(7) Hypothesis Testing for Discrete Data

(8) Analysis of Variance (ANOVA)

(9) Correlation-Regression

 

E. Improve

4. Try Out Improvement Theory

a. Purpose

(1) To complete tests of your improvement theories

(2) Develop and test a plan of action for implementing and confirming the solution

b. Outcome

(1) Data on tests

(2) The process is modified and the outcome is measured to determine whether the revised method produces results within customer expectations

c. Tools

(1) Inference and Sample Size

(2) Introduction to DOE

(3) Objective, Output Response, Input Variable

(4) Select DOE Design

(5) Develop Strategy and Run Experiments

 

5. Study the Results

d. Purpose

(1) To see if the improvement theories worked

e. Outcome

(1) A data-based decision to act on (Standardize) or abandon the actions taken to improve the system

f. Tools

(1) Fit & Diagnose DOE

(2) Interpret & Confirm DOE Model

(3) Fractional Factorial

(4) General Factorials

 

F. Control 

6.  Standardize Improvement

a. Purpose

(1) To have full implementation of actions taken to improve the system

(2) To minimize the chance of going back to the pre-improvement state

b. Outcome

(1) System operates at the new level of performance

c. Tools

(1) Evolutionary Operations (EVOP)

(2) Advanced Capability Analysis

(3) Rational Sub-grouping

(4) Statistical Process Control (SPC)

(5) Mistake Proofing

(6) Control Plans 

 

7. Plan Continuous Improvement

a. Purpose

(1) To have the teams recommendations for continuous improvement

(2) To complete documentation of the project

(3) To report on the project

b. Outcome

(1) Completed Continuous Improvement Project report

(2) A set of recommendations                                                   

c. Tools

                                                            (1) Solution Selection Matrix

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