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Advanced Lean Six Sigma Training and Leadership

Quality Management
/
Lean Six Sigma Black Belt

Course Overview

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Learners enrolled

LSSBB

Lean Six Sigma Black Belt

This training helps participants build advanced Lean Six Sigma leadership and analytical capabilities required to manage improvement initiatives, solve operational challenges, optimize business processes, and support sustainable organizational growth.

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What You Will Learn

participants will be able to:

  • Lead and manage cross-functional Lean Six Sigma projects
  • Apply DMAIC methodology to process improvement initiatives
  • Use advanced statistical tools for data analysis and problem-solving
  • Identify operational inefficiencies and reduce process waste
  • Improve process performance and operational productivity
  • Support strategic business improvement initiatives
  • Implement process control and monitoring techniques
  • Mentor and guide Green Belt professionals and project teams
  • Lead organizational change and stakeholder engagement activities
  • Build a culture of continuous improvement and operational excellence
The Lean Six Sigma Black Belt program equips professionals with advanced Lean Six Sigma methodologies, statistical analysis techniques, and leadership skills to drive process improvement, operational excellence, and sustainable business performance.

Who Should Enroll

  • Quality managers
  • Operations managers
  • Process improvement professionals
  • Lean Six Sigma Green Belts
  • Project managers
  • Manufacturing professionals
  • Business excellence professionals
  • Continuous improvement specialists
  • Supply chain professionals
  • Team leaders and department managers

Skills You Will Build

  • DMAIC mastery

  • Advanced statistics

  • Project leadership

  • Change management

  • Waste reduction

Target Competencies
  • Process control
  • Coaching & mentoring
  • Strategic alignment
  • Data-driven decisions
  • Continuous improvement
Student

Module 1 – Introduction to Statistics and Estimation

  • Introduction to Statistics
  • Measures of Central Tendency & Dispersion
  • Types of Variation
  • Normal Distribution, Control Limits and Specification Limits
  • Areas and Probabilities in a Normal Curve
  • Probabilities of Defects - Intro to Z-Value
  • Empirical Cumulative Distribution Function
  • Estimation - Graphical Summary
  • Confidence Interval and Confidence Level
  • Calculate Baseline Performance: FPY, TPY, RTPY, Process Capability

Module 2 – Data Visualisation Tools

  • Normal Probability Plot
  • Visualising Data with Single Variable
  • Visualising Data with two Variables

Module 3 – Hypothesis Testing

  • Root Cause Validation using Statistical Thinking
  • Understanding Hypothesis Testing & p-Value
  • Types of Hypothesis Tests & Process

Module 4 – Control Charts

  • Introduction to Statistical Process Control
  • Components of a Control Chart
  • Understanding various types of Control Charts
  • I-MR Chart
  • X-Bar R Chart
  • X-Bar S Chart
  • P Chart
  • U Chart

Select a Batch Timeline

Please ensure you select both your preferred batch and time slot to confirm your enrollment.

*Select Batch

No Upcoming Batches

Course Bundle Fees
$0
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