Course Pre-requisites
This course can be taken without specific entry requirements or prior knowledge in the field of Lean Six Sigma. You do not have to take the Green Belt course to be able to start the Black Belt course. Affinity with change management is a plus.

Program Duration
Classroom Training:  64 Hours
Project Coaching:     10 Hours

Training Platform
Virtual Classroom (Zoom)

Exam
Online Exam (90 Minutes / 40 MCQs / Passing criteria 75%)

For more details, please visit our website
https://www.theleansixsigmacompany.eu/black-belt-services-course/

Certification Body:

‘The Lean Six Sigma Company’ is the Europe’s leading Lean Six Sigma provider with offices in +28 countries including Europe, US, Canada and Asia.

Program Content

Part 1 Lean Thinking (2 days)

• Lean philosophy, history, and background
• Lean and the Theory of Constraints
• The Lean Roadmap
• Customer value add analysis
• Business value add and non value add
• The 8 types of waste
• Practical simulation, part 1
• Value stream mapping
• Flow
• Line balancing & Takt time
• Pull and Little’s law
• Kanban, safety stock, and replenishment pull
• Practical simulation, part 2
• Poka Yoke
• 5S and Visual Management
• SMED and setup reduction
• Kaizen (Kaikaku)
• 5 times Why, A3 management

Part 2 Six Sigma (4 days)

Module 1 Introduction

• Background of Six Sigma
• Six Sigma organization
• DMAIC – improvement structure
• Six Sigma for service provision and transactional processes
• Implementation of Six Sigma
• Abbreviations and terminology

Module 2 Define

• Role and importance of the DEFINE stage
• Voice of the Customer
• Project CTQ
• Compiling a Six Sigma project team
• The Six Sigma project charter
• Project selection
• SIPOC
• Stakeholders diagram

Module 3 Basic statistics and introduction into Minitab

• Introduction into statistics
• Statistical quantities
• Dispersion / distribution
• Standard deviation
• Sampling / population
• Histograms
• Introduction into Minitab

Module 4 Measure

• Determining project Y
• Data types
• Data collection plan
• Baseline performance
• Measuring system
• Determining the improvement goal
• Process capability

Module 5 Analysis

• Possible root causes
• Prioritizing causes
• Value stream mapping
• Graphical analysis techniques
• Causes and consequences
• FMEA

Module 6 Hypothesis tests

• Confidence intervals
• Importance of sampling
• Impact of sampling on confidence intervals
• Hypothesis tests
• Alfa and Beta risks
• Drafting the right hypothesis
• Interpreting the result

Module 7 Statistical Tests

• Hypothesis tests and data types
• Applying statistical tests
• Recognizing which test should be performed when
• Drafting hypotheses
• Drawing conclusions from data

Module 8 Improve

• Generating solutions
• Trial Experiments
• Techniques for generating ideas
• Selecting the best solution
• Conducting pilots

Module 9 Control

• Control plan and control mechanisms
• Implementing and confirming the solution
• Project documentation
• Project closing