Curriculum

10 Topics
Introduction & overview of six sigma project management
Who are customers
what are the types of customers?
What is Voice Of Customer(VOC)
What are Critical To Quality (CTQ )
How do we map CTQs to internal Critical to Business Processes (CBP )
Elements of a project charter- Problem statement
Business case
Goal statement
Project scope & Project team

17 Topics
Process analysis & mapping
Identifying the detailed AS-IS processes
Understanding the tools to create a process map
Dos & Don’ts of process mapping
SIPOC
Understanding data
Types of data & characteristics
Basic statistics - Mean
Median
Mode
Standard deviation & Variation
Data collection techniques
Understanding data sampling and techniques
Defining a unit and evaluating DPU
DPO
DPMO
Computing process sigma for discrete & continuous data type

9 Topics
Data analysis techniques
Tools used for data analysis
Pareto Chart
Fishbone
FMEA. Statistical hypothesis to validate the assumption ( Assumption based on P-value)
Understanding Type I and Type II error
Analysis of Means using variation (ANOVA)
Analyzing the statistical significance of 2 data sets using Correlation
Usage of Regression models to predict & estimate Y’s with X inputs

9 Topics
Understanding Value
Evaluating Value added & Non value added activities using Value stream mapping
5S ( Set
Sort
Straighten
Strengthen
Stabilize)
Muda
Driving Kaizen events

13 Topics
Establishing Control Plans to sustain gains
Introduction to Statistical process Control (SPC) Charts
Identifying special and common causes
etc.
Selection and application of right control charts
Application of the following types of Control charts: X bar R
X bar S
individual and moving range (ImR/ Xmr)
NP
P
C and U. Analysis of Control Charts- Interpret control charts results
common & special causes using rules for determining statistical control. Controlling the changes using poka yoke (mistake proofing)
Analyzing new process capability and defining control plans

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