
After completing this lecture students will have clear understanding on
Cost of poor quality (COPQ)
How to asses COPQ
PAF model and the optimum quality level
After completing this lecture students will understand
What is six sigma ?
Graphical representation & Explanation of six sigma
Examples of Six Sigma processes
Benefits of using Six Sigma
What is Lean ?
Applications of Lean & Six Sigma?
At the the end of this lecture students will
Understand key terms used in LSS project selections and goal setting
Understand how to select a lean Six Sigma project
Roles and Responsibilities of a Green Belt
Roles and Responsibilities of the management
At the end of this lecture student will
Clearly understand how to build a project charter
How to define a problem statement
How to write a business case
Different types of scoping
At the end of this lecture student will
Understand the 3 main problem categories
How to determine CTQ
What is VOC , VOP , VOB
At the end of the session students will
Be able to perform stake holder analysis
Define RACI chart
Project plan with ARMI
At the end of the lecture students will
Understand Various process elements
Understand how to create a SIPOC
At the end of this lecture student will clearly understand
1) What are the learning objectives of Measure phase
2) What are the deliverable in Measure phase
At the end of this lecture student will clearly understand
1) What is a process map
2) What is the use of a process map
3) How to find out Key process input variables and Key process output variables
At the end of this lecture student will clearly understand
1) What are the different data types
2) Advantages and disadvantages of various datatypes
At the end of this lecture student will clearly understand
1) Sampling and Sampling strategy
At the end of this lecture student will clearly understand
1)How to make a data collection plan
2) How to collect data for the project
At the end of this lecture student will clearly understand
1) Introduction and Various aspects of a measurement system
2) Difference between Accuracy and Precision
3) Bias , Linearity , Repeatability , Reproducibility , Stability and Discrimination issues
At the end of this lecture student will clearly understand
1) How to run Attribute agreement analysis in Minitab (Measurement system analysis)
2) How to interpret the results of the analysis
3) What actions are to be taken to improve the measurement system
At the end of this lecture student will clearly understand
1) Measures of Central tendency
2) Where to apply which measure of central tendancy
At the end of this lecture student will clearly understand
1) How to calculate measure of central tendency using Minitab
Download the basic statistics template from the resources section to perform descriptive statistics using Excel
At the end of this lecture student will clearly understand
1) What is variation
2) Different sources of variation
3) Different types of Variation
4) Why is it important to understand the type of variation
At the end of this lecture student will clearly understand
1) Different measures of variation
2) How to calculate them using Minitab and summarize
**Take the quiz to check your understanding
At the end of this lecture student will clearly understand
1) What is a time series and when to apply time series analysis
2) What are the key parameters to look for in a time series including trends and special causes
3) What are the different types of trends ?
4) How to build time series using Minitab in detail
* Have attached the practice for you to try
At the end of this lecture student will clearly understand
1) How to check the non randomness /special causes in the data using Run chart
2) How to plot run chart in Minitab
3) How to check for Trend , Mixture , Oscillation and Clustering
4) How to build bar charts and pie charts for data representation and stratification
At the end of this lecture student will clearly understand
1) How to baseline your project with tools and techniques learnt so far
2) The key areas to focus in a real baseline creation exercise
3) Use of Minitab for Baseline creation in a real project as example
At the end of this lecture student will clearly understand
1) Normality and importance of normality
2) What is process capability
3) Why do we need to calculate process capability
4) Introduction to process sigma scores or standardized Z scores
5) Concept of long term and Short term sigma and Z shift
At the end of this lecture student will clearly understand
1) How to calculate z value from DPMO using a DPMO table
2) How to calculate probability from the Z score using a Z table
3) How to calculate Z score from PPM using a PPM table
At the end of this lecture student will clearly understand
1) How to find out the potential causes/high level (X's) for Variation in your output (Y) (Your business problem)
2) How to categorize different potential causes/High Level causing variation in output (Y) (Your business problem)
At the end of this lecture student will clearly understand
1) How to prioritize the potential causes / High level causes/ X's
2) Differentiate between Vital few and Trivial many causes (80 :20 rule)
You may also download the excel template for Pareto analysis from the resources section for quick analysis
At the end of this lecture student will clearly understand
1) How to prioritize the potential causes / High level causes/ X's
2) How to identify high control high impact potential causes / High level causes/ X's
At the end of this lecture student will clearly understand
1) How to find out the real "root" causes for the potential causes
At the end of this lecture student will clearly understand
1) How to find out the potential risks and failures points in your process and prioritize them
2) How to find out the real "root" causes for the failure and mitigate it
3) How to used FMEA find out some of the root causes for the problem
At the end of this lecture student will clearly understand
1) What are the key topics covered in Define phase
2) What are the key topics covered in Measure phase
At the end of this lecture student will clearly understand
1) What is the objective of Analyze phase
2) What are the key deliverable in Analyze phase
At the end of this lecture student will clearly understand
1) What is lean
2) History of lean and Toyota production system
3) 5 key principles of lean and its application
At the end of this lecture student will clearly understand
1) 5 principles of Lean
2) 8 wastes of Lean
3) Concept of Value stream mapping
4) As Is and To Be Value stream maps
At the end of this lecture student will clearly understand
1) What is a VSM and benefits of VSM
2) Why VSM is called as a Big picture map
3) Key concepts to build a value stream map
4) Key components of a value stream map
At the end of this lecture student will clearly understand
1) Key parameters measured in a VSM and clear definitions
2) How to build a VSM from scratch with an Example
3) How to find out opportunities from a VSM
At the end of this lecture student will clearly understand
1) Basic tools and techniques to analyze the X's
2) How to construct a box plot in Minitab and application in your project
3) How to construct a histogram in Minitab and the applications
You may also download the excel templates for Box plot and Histogram from the resources section and use for quick analysis
At the end of this lecture student will clearly understand
1) Concept of correlation and how to measure correlation
2) Scatter plot and it's usage
3) Role of regression
1) Normal distribution and it's importance
2) All properties of normal distribution
3) Application of normal distribution
At the end of this lecture student will clearly understand
1) What do you mean by hypothesis testing
2) Why do we need hypothesis testing
3) When do we need hypothesis testing
At the end of this lecture student will clearly understand
1) What is null and alternate hypothesis
2) How to formulate null and alternate hypothesis
3) Application of the same in hypothesis testing
At the end of this lecture student will clearly understand
1) The connection between hypothesis testing and 5 why analysis
2) How to find the real root causes from the symptoms you have confirmed through hypothesis testing
At the end of this lecture student will clearly understand
1) What is type 1 error or producers error alpha error
2) What is type 2 error or consumers error or beta error
3) How to control alpha and beta errors
At the end of this lecture student will clearly understand
1) What is P value
2) Importance of P value in hypothesis testing
3) How will p value help in taking decisions
At the end of this lecture student will clearly understand
1) What is Z test
2) Pre conditions to be met to use Z test
3) How to run a Z test
4) How to interpret the results of Z test
At the end of this lecture student will clearly understand
1) What is 1 sample t test and where to use t test over Z test
2) Pre conditions to be met to use 1 sample t test
3) How to run a 1 sample t test
4) How to interpret the results of 1 sample t test
At the end of this lecture student will clearly understand
1) What is 2 sample t test and where to use 2 sample t test over 1 sample t test
2) Good understanding of T distribution
3) Pre conditions to be met to use 2 sample t test
4) How to run a 2 sample t test
5) How to interpret the results of 2 sample t test
You may also download the excel templates for conducting Z test and T test for a quick analysis from the resources section
At the end of this lecture student will clearly understand
1) What is ANOVA and where to use ANOVA and limitation of 2 sample t test
2) Good understanding of F distribution
3) Basics of degrees of freedom
4) difference Between and Within variation
5) How to interpret the results of ANOVA
You may download the excel templates provided in the resources section for ANOVA and F test for a quick analysis
At the end of this lecture student will clearly understand
1) What is Chi Square test and where to use it.
2) Conditions to use a chi square test
3) What is Chi square statistics
4) Difference between expected and observed frequency
5) How to interpret the results of a Chi square test
You may download the excel template for running Chi square test from the resources section for a quick analysis
At the end of this lecture student will clearly understand
1) What is Simple linear regression
2) Difference between interpolation and prediction
3) Pre conditions to use regression
4) Why would you do scatter plot and correlation before performing regression
5) How to interpret the results of regression
You may download the simple linear regression excel template from the resources section to run a quick analysis
At the end of this lecture student will clearly understand
1) Difference between a parametric test and non parametric test
2) When to use a non parametric test
3) Limitations of parametric test (Mann Whitney)
4) How to interpret the results of Mann Whitney
You may download the excel template for Mann Whitney test from the resources section to run a quick analysis
At the end of this lecture student will clearly understand
1) You will refresh your learning in Analyze phase and prepare to start the Improve phase
At the end of this lecture student will clearly understand
1) What are the learning objectives and deliverable of improve phase
2) What are the expected outcomes of improve phase
At the end of this lecture student will clearly understand
1) Objectives of brainstorming exercise
2) Guidelines to conduct an effective brainstorming session
3) How to collect ideas from the participants
4) How to classify the collected ideas
At the end of this lecture student will clearly understand
1) When and where to use criteria based matrix
2) How to use criteria based matrix
3) How to prioritize solutions using criteria based matrix
At the end of this lecture student will clearly understand
1) When and where to use pugh matrix
2) How to use pugh matrix
3) How to prioritize solutions using pugh matrix
At the end of this lecture student will clearly understand
1) Basics and objectives Poka yoke or mistake proofing
2) Various types of Poka yoke
3) How and to apply Poka Yoke and benefits of applying poka yoke
At the end of this lecture student will clearly understand
1) Basic elements of 5S
2) How to apply 5S techniques
3) Benefits of applying 5S with simple examples
At the end of this lecture student will clearly understand
1) How to perform cost benefit analysis of the solution
2) What is the rationale behind conducting a cost benefit analysis
3) What are the key things to be addressed while performing cost benefit analysis
At the end of this lecture student will clearly understand
1) What is the importance of implementation plan
2) Key attributes to be included in an implementation plan
3) Who is the owner of the solution , what is the solution and when will the solution get implemented.
At the end of this lecture student will clearly understand
1) What do we mean by pilot
2) Why do we need to run a pilot
3) Benefits of running a pilot
4) expected actions to be taken during and after pilot
At the end of this lecture student will clearly understand
1) How to statistically verify the result of the pilot
2) How to quantify and present the results of pilot to the management
3) What are the actions to be taken after verifying the pilot results.
At the end of this lecture student will clearly understand
1) The task to be completed in improve phase
2) What are the expected outcomes of the improve phase
At the end of this lecture student will get a recap of
1) The learning from improve phase
At the end of this lecture student will clearly understand
1) Learning objectives of control phase
2) Deliverable of control phase
3) Importance of control phase
4) Start and end of control phase
At the end of this lecture student will clearly understand
1) Road map of control phase
2) Importance of statistical process control
3) Importance of monitoring and control
At the end of this lecture student will clearly understand
1) What is a control plan
2) Importance of control plan
3) Basic attributes to be included in a control plan
At the end of this lecture student will clearly understand
1) What is statistical process control
2) Different types of control charts
3) Application of control charts based on the data type
4) How to build a control chart
5) Difference between specification limit and control limits
6) How to identify special causes from the control charts
At the end of this lecture student will clearly understand
1) How to interpret the results from a control chart
2) 9 key western electric rules for detecting special causes
At the end of this lecture student will clearly understand
1) What is specification limit and who provides specification limit
2) What is control limit and who provides control limit
At the end of this lecture student will clearly understand
1) Different types of control charts
2) What is the purpose of each controls chart
3) Selection of control charts based on the data type and situation
At the end of this lecture student will clearly understand
1) What is p and NP chart
2) when to use P and NP chart
3) How to construct a P chart or NP chart using minitab
You may download the excel template from the resources section for control charts to run a quick analysis.
At the end of this lecture student will clearly understand
1) What is U and C chart
2) when to use U and C chart
3) How to construct a U chart and C chart using minitab
At the end of this lecture student will clearly understand
1) What is IMR chart
2) when to use IMR chart
3) How to construct an IMR chart using minitab
At the end of this lecture student will clearly understand
1) What is X BAR R chart
2) when to use X BAR R chart
3) How to construct a X BAR R chart using minitab
At the end of this lecture student will clearly understand
1) What are the key steps to be completed in control phase
2) What is the importance of monitoring and controlling your X's and Y's
3) What should you do if your process is going out of control
At the end of this lecture student will clearly understand
1) How to graphically represent your process before your starting the project and after completing the project
2) What are the steps in closing the project
3) The importance of documentation
4) Basic documentation required to close the project
This course will give you a full perspective on how to deal with problems and find sustainable solutions in a scientific way. The best part of this program is that it is industry agnostic. This skill set is the most sought after one in each and every employee especially during such testing times. This methodology when applied , will give you immediate visibility to the higher management. This certification will speak for itself about your ability to handle business problems and solve it methodically, especially when you are applying for new jobs. On completion of this course you will become a regular user of Minitab statistical analysis software and great understanding of statistics. The reason why statistics is given importance in this course is due to the importance of measurement. If you do not measure the performance of your important metrics , you will not be able to improve it. The instructor provides industry specific examples and generic examples for each topic covered in this course to make sure that each participant understands the concepts thoroughly. The industries covered includes examples form IT industry , ITES industry , Manufacturing , Banking etc. Last but not the least , learnings from this course can be used to solve problems in your daily personal affairs as well which includes issues around money management , time management , inventory management etc.