Helping you grow exponentially

-Lecture-1:

• Historical perspective

• Six Sigma Applications

• Features of Six-Sigma

• Lean + Sigma (a very good tool)

-Lecture-2:

• What is a Process

• Six Sigma methodology

• Introduction to DMAIC & DMADV 

-Lecture-3:

• Define phase activities

• Techniques for project identification

• SMART Goals

• VOC (Voice of customer)

-Lecture-4:

• Translate VOC to CTQ’s

• VOB (Voice of Business)

• VOP (Voice of Process)

• COPQ (Cost of Poor Quality) & external failure costs

Lecture-5:

• CTQ Drill down

• Process Mapping 

• Key elements of Project Charter

Lecture-6:

• Team selection

• Team growth stages

• Toll gate reviews

-Lecture-7:

• Measure phase activities

• Operational definition

• Methods to collect data

• Types of Process Maps

-Lecture-8:

• Understanding SIPOC

• Flow chart & Cross functional flow chart

• Value stream map & Benefits of VSM

• Lead Time & Process Time

-Lecture-9:

• What is Value

• Value adding activities (VA)

• Non-Value adding activities (NVA)

-Lecture-10:

Types of Data

• How to organize the Data collection plan

-Lecture-11

• Understanding Population & sample

• Different types of sampling plan

-Lecture-12:

• Measurement system analysis

• What is precision & accuracy 

• How much Error is acceptable

-Lecture-13:

• Basic statistics

• Measures of central tendency

• Measures of variation

-Lecture-14

• Concept of Normal distribution

• Standard Normal distribution

• Concept of Z-value

-Lecture-15:

• Process Base Line (stability of process)

• Run charts

-Lecture-16:

• What is process stability 

• Cp (potential process capability)

• Sigma level & PPM

-Lecture-17:

• What is Cpk 

• What should be desired Cpk 

• Sigma Level across different business sectors

-Lecture-18:

• Yield, RTY (Multi-step process)

• Concept of DPU, DPMO

-Lecture-19:

• Introduction to Minitab

• Tests for normality

• Using Minitab for basic statistics

-Lecture-20:

• Analyze phase activities

• Understanding Root cause

• Some analysis Tools

• Ishikawa Diagram

• 5 Why Analysis

-Lecture-21:

• Brainstorming

• Data stratification

• Check sheets & Pareto charting

-Lecture-22:

• What is FMEA & history of FMEA

• FMEA Process

• Applications of FMEA

-Lecture-23:

• Practical Illustration of FMEA

-Lecture-24:

• Modelling relationship between variables (Correlation)

• Correlation coefficient

• Uses of correlation study

-Lecture-25:

• Modelling relationship between variables (Regression)

• Simple Linear regression & multiple Linear regression

• Gap Analysis

-Lecture-26:

• Improve phase activities

• Generating solution ideas

• SCAMPER & Mind Mapping

• Six Thinking Hats

-Lecture-27:

• Lean Tools for improvement

• 5S Technique

• Push versus Pull systems

-Lecture-28:

• What is SMED

• Steps in SMED

• Practical illustration of SMED

-Lecture-29:

• What is Kaizen

• Kaizen Process

• Piloting the solution & Full-scale implementation

-Lecture-30:

• Control Phase 

• Types of control methods

• Introduction to Statistical Process control (SPC)

-Lecture-31:

• Common Causes & special causes

• Illustration of Common Causes & special causes

• Why use SPC

-Lecture-32:

• Procedure for control charts

• What is Rational sub-group

• What are common "out of control" signals

-Lecture-33:

• How do you select correct "control chart"

• Different types of control charts

• Control chart for "variable data"

• The Xbar-R chart

-Lecture-34:

• Illustration of Xbar-R chart

• Control chart for discrete data

• What is meant by "defect" and "defectives"

• The P-control chart & illustration of P-chart.

-Lecture-35:

• What is Poka Yoka

• Poka Yoka Methodology

• Illustrations of Poka Yoka

• Conclusive Remarks

-Lecture-1:

• Historical perspective

• Six Sigma Applications

• Features of Six-Sigma

• Lean + Sigma (a very good tool)

-Lecture-2:

• What is a Process

• Six Sigma methodology

• Introduction to DMAIC & DMADV 

-Lecture-3:

• The 7 Muda

• Other forms of Waste

• Muda, Mura, Muri

• VOC (Voice of customer)

-Lecture-4:

• 5S Methodology

• Just in Time

-Lecture-5:

• Basic Statistics

• Pareto Principle

• VOC or Voice of customer

• Basic Metrics

-Lecture-8:

• Approaching the Problem

• Creating a Problem statement

• The 5 Why analysis

-Lecture-9:

• Understanding Process & it's components

• Data

• SIPOC for process analysis

• Other types of flow charts

-Lecture-10:

• Critical to Quality or CTQ

• Understanding COPQ & COQ

• Why Quality is a critical success factor

-Lecture-11:

• Selecting the right projects

• Enterprise level selection process

-Lecture-12:

• Building a Six Sigma Team

• Timelines, schedules, Budgeting

• How to manage Team successfully

-Lecture-13:

• DMAIC vs DMADV

-Lecture-14:

• Define Phase

-Lecture-15:

• Measure

-Lecture-16:

• Analyze

-Lecture-17:

•Improve

-Lecture-18:

• Control

• Design

• Verify