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

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

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

Understanding Value

Evaluating Value added & Non value added activities using Value stream mapping

5S ( Set

Sort

Straighten

Strengthen

Stabilize)

Muda

Driving Kaizen events

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