Intellegenz

Business Consultants 

Six Sigma

Learning Objectives

On completion of the course participants:

  • Will have a strong understanding of the tools, methods, techniques from Six Sigma.
  • Achieve a strong preparation to clear the JAT exam and contribute in an effective way of practising and know how’s of Six Sigma.

Who should attend?

The course is designed for meeting the requirements of the following audience:

Yellow Belt

  • Students of the pre & final year of diploma.

Green Belt:
  • Students of the pre & final year of engineering stream
  • Students doing their masters programme under engineering and management.
  • Quality Assurance engineers, Project managers, Production engineers, Team leaders.
  • Automotive, Manufacturing, Process, textile, aeronautical and Food industry personnel.

Black Belt:
  • Professional who are Green Belt certified.

What will I learn?

  • Understand the basics of Six Sigma.
  • Learn how to collect data.
  • Become Six Sigma Yellow/Green/Black Belt
  • Learn how Analyse the data
  • Become familiar with various techniques in Six Sigma methodology.
  • Gain professional recognition 

How will I benefit?

  • Make real gains by rectifying the deviation in process realtime.
  • Identify and correct the deviation in the process.
  • Make the process to Six Sigma Score.
  • Improving the utilization of resources and customer satisfaction.

Course Inclusion

  • Instructor led training.
  • Training kit.
  • Intellegenz certification process*
  • Simulated exam.

*Certification is done only after the student completes and clears the evaluation process.

Course Agenda

Course Content*


Introduction - what is Lean and six Sigma- DMAIC-DMADV-VSM-Selection of projects

Define -Juran’s Pareto Analysis-Define current “As Is” process- Measure-Sources of variation, distribution- Data Collection-Detailed Process map- interpretation of process maps- problem identification- Displaying data- Graphs- Histograms- Box Plots- Sampling- Standard Normal Distribution

Measure - standard, normal distribution-probability and statistics-MSA Continuous data—calculating sigma level-capability analyse- confidence intervals-testing hypothesis when y and x are categorical-y is continuous and x is categorical- Measurement system analysis- Repeatability- Reproducibility- Calculation of Sigma level- Identifying Potential X’s- Cause-Effect Diagram, Failure Mode Effect Analysis (FMEA)

Analyse - Stratification- Hypothesis testing-Confidence Intervals- difference between Y’s & X’s- Normality tests- ANOVA- Nonparametric tests- Analysis of variance (ANOVA)-nonparametric tests-testing hypothesis when Y is continuous and x is continuous-checkpoints

Improve - DOE-2k Factorial experiments-centre points and blocking- factorial experiments- prove effectiveness- develop implementation plan

Control - Identify Control subjects- mistake proofing- process control plan- SPC Methods- Documentation- Exercises using Minitab at required topics



*Course Content will be touched according to the belts. (Yellow Belt - Overview , Green Belt - Detailed Inputs ,Black Belt - In-depth exposure with live examples

Training Duration - 4/5 Days Classroom*

Training Certification - Yes

Instructor Helpline Post Training - 30 days

Simulated Exams - 2

Learning Aids - Yes

Printed Copy of Course - Yes** 

* Number of days may vary as per city

** Available in selected cities