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.

Program Duration
Classroom Training: 10 days

Training Platform
In- house training

Exam
Online Exam (120 Minutes / 49 MCQs / Passing criteria 75%)

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

Materials:
Each participant will get access to the Digital Learning materials that can be downloaded. Process mapping and E-Learning videos will assist in recap the theory and coaching for exam. Simulation through MIRO software and Minitab. Exam coaching support to prepare them for the examination

Program claimable under HRD Corporation

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.

All participants are required to sit for the Online Exam in order to be awarded the
Certification Of Completion.

Participants are encouraging to do project in order to apply the knowledge learned. We support the participants by providing project coaching. Upon completion the Project, the participants will earn the Certification of Achievement. This fee is excluded from the training fee. If you are interested to get the Certification of Achievement to contact us for further discussion.

Program Content

Part 1 Lean Thinking

• 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

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 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 VSM, 5S & Visual Management

• Value stream mapping (continuation…)
• 5S (continuation…)
• Visual management (continuation…)

Module 9 Improve

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

Module 10 Control

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

Module 11 Industrial sector Analysis of measuring system

• Analysis of measuring system
• MSA theory
• Gage R&R application
• Gage R&R attribute data
• Introduction into Statapult
• Exercise including MSA; Capability and Control
• Charting
• Introduction into Designed Experiments

Module 12 Design of experiment

• Design of Experiments
• 2-level Factorial Designs
• Screening Design
• Center points
• Response Surface Modelling