Certification in Lean Six Sigma Black Belt

Duration: 3 Months

Rs.200 + GST

23-Nov-2025

15-Nov-2025

Rs. 17,000 + GST

Class Timings

Sundays: 10:00 AM to 1.00 PM (Physical Classroom Session at LIBA)

Venue

LIBA

Loyola College Campus, Nungambakkam.

Admission Process

  • Fill out the application form

  • Our expert team will review your application

  • Admission letter will be sent to your email ID

  • Pay the Course Fee

Benefits of doing the programme

Industry Experts Session

1:1 Project Coaching Sessions

Structured Programme

Practical Case Studies

Convenient Learning Format

Programme Overview

  • Designed for working professionals, Students

  • Participant Support is available 24 x 7, 7 days a week

  • 36 hours of Classroom Sessions

Who is this Programme for?

Manufacturing & Production Employees

Professionals in Process Improvement Roles

Marketing & Sales Professionals

Mid-Level Managers and Team Leaders

Quality Engineers

Professionals in Data Driven Roles

Healthcare, Finance, Banking & IT Professionals

Career Switchers, Employees Aiming for Leadership

Eligibility

Bachelor’s Degree with minimum 50% or equivalent passing marks.

Faculty

Prof. Kidambi Srinivasan

30+ Years of Industry and Teaching Experience

Syllabus

•Introduction to Lean-Toyota       Production System (TPS), Lean Principles (including Value Stream Mapping (VSM)), Wastages

• Understanding the Customer Requirement-Balance Score Card (BSC), Cost of Poor Quality (COPQ), Quality Function Deployment (QFD), Project Selection and Prioritization

•Defining and developing the project charter, building a goal/problem statement

•Project scoping: selection of team members, assigning roles for the team Members

•Goal means diagram, problem definition tree

•Business case and project sign off

•Capturing Voice of Customer (VOC) and its relevance

•CTQ characteristics-characteristic, unit of measure, target, specification limit, desired level of quality

•Process mapping using COPIS/SIPOC Model, Sub-Process Mapping, VSM

•Data types: Discrete and Continuous Sampling plan and techniques.

•Measurement Systems Analysis (MSA) using Variable Data – Gage R&R: using Attribute Data – Attribute Agreement Analysis

•Data collection plan: five-step data collection plan

•Data Distribution – Central Tendency, Variation / Dispersion, Histogram, Box Plot, Normal Distribution Curve

•Normality – why it matters, and what to do when your data is not normal

•Normality Test-Anderson Darling Normality Test

•Box-Cox and Johnson Transformation

•Process capability analysis: The specification limits (double-sided; single-sided)

•Baseline sigma capability- Zst, Zit, Zgoal, Zentitlement

 

•Sigma level calculator

•Process Capability (Discrete), Defects & Defective & Deter DPU, DPO, DPMO, PPM

•Yield – FTY, RTY, Normal yield

•Root Cause Analysis

•Fishbone/Ishikawa Diagrams; Why-Why Analysis, Pareto Chart, FMEA

•Hypothesis Testing, Hypothesis Formation, Alpha and Beta Risks; Test of Means, Variances, Ratios

•Hypothesis Testing of One Y, X pair: Chi-Square, ANOVA (Analysis of Variance)

•Hypothesis Testing-Non-Parametric Tests (For Non-normal Data)

•Correlation Analysis

•Regression Analysis – Simple Linear Regression, Multiple Linear Regression,

•Binary Logistic Regression

•Design of Experiments – Full factorial experiments. Main effects plot; Interactions plot

•Improvements with Lean Tools-Kaizen, Kanban, 5S, Poka-yoke

•FMEA (Failure Mode and Effects Analysis), Test and Justify the Solution, Cost-benefit analysis, and reporting-Linkages to profit and loss

• Introduction to Statistical Process Control (SPC) – its relevance; common causes vs. special causes

•Introduction to control charts-Continuous and Discrete Data

•Tests for Special Cause Variations

•Discrete data control charts (NP, P, C, and U Charts), Variable data control Charts (I-MR, X-Bar R, and X-Bar S)

•Project Documentation and Monitoring Standards

CERTIFICATE