Green Belt Lean Six Sigma in English À distance

Dernière mise à jour : 20/07/2025

Programme

visuel

Days 1 and 2 – Lean Management Module

  • History and positioning of Lean Management
  • DMAIC method and Kaizen Event
  • Process capacity: cycle time and Takt time
  • Work in progress, inventory, waiting time, and Little's Law
  • Value Stream Mapping (VSM)
  • Rhythm diagrams
  • Value-added analysis and waste elimination
  • Process Cycle Efficiency and Overall Process Efficiency
  • First Pass Yield and Rolled Throughput Yield
  • Theory of constraints and line balancing
  • Continuous flow
  • Pulled flow and kanban
  • Visual management, poka-yoke, 5S
  • SMED
  • Heijunka, dynamic capacity adjustment, and standardization
  • Maximum acceptable work in progress (WIP max)
  • Kata and Short Interval Management
  • Toyota Way
  • Complex flow analysis
  • Failure Mode Effects Analysis (FMEA)
    _________________________________________________________________________________________________

Days 3 and 4 – Six Sigma Yellow Belt Module

  • History and positioning of Lean Six Sigma
  • Typology (LSSx.0) of problems and DMAIC projects
  • DEFINE
    Project initiation
    SIPOC
    The 3 Voices
    Critical To Satisfaction
    Kano Model
    Problem statements, objective statement, and project opportunity
    Project charter v1
  • MAIC method for solving simple statistical problems
  • MEASURE
    Problem metric
    Measurement plan
    Validation of the measurement system: precision and accuracy (concordance analysis)
    Error rate
    Project charter v2
  • ANALYZE
    Pareto analysis
    The Five Whys
    Project charter v3

IMPROVE

  • Solution research and selection
  • Business Case
  • Solution implementation
  • Improvement validation

CONTROL

  • Performance tracking dashboard
  • Response plan

 

Days 5, 6, and 7 – Six Sigma Green Belt Module

 

MAIC method for solving complex statistical problems

MEASURE

  • Basic statistics and data types
  • Project Y and defect definition
  • Measurement plan
  • Validation of the measurement system: gauge R&R, linearity, and bias
  • Sampling and data validation
  • Process Voice Analysis
  • Capability
  • Project charter v2

ANALYZE

  • Analysis process Y = f (X's)
  • Ishikawa diagram
  • Introduction to inferential statistics (confidence interval concept)
  • Study of influence on variation, central tendency, proportions, and covariance: contingency tables, graphical analysis (box plots and scatter plots), correlation coefficient, confidence interval analysis
  • Project charter v3

IMPROVE

  • Statistical validation of improvement

CONTROL

  • Statistical process control
  • Control Charts: I-MR, Xbar-R, Xbar-S, P and NP, U and C charts
  • Response plan

                                                                                                                             

Objectifs de la formation

Lean Management Module

  • Evaluate the production capacity, resource losses, and delivery times of a production unit, activity flow, or organization.
  • Establish a process mapping based on field observations to describe and communicate the reality of operations to management.
  • Analyze a process to locate and quantify bottlenecks, overcapacities, waste, and dysfunctions of all kinds.
  • Make operations faster, more agile, leaner, and more reliable.
  • Develop a performance management system based on field indicators and problem tracking routines.
  • Conduct a flow problem-solving workshop and/or organizational efficiency using the "kaizen event" approach.

 

Six Sigma Yellow Belt Module

  • Analyze the results of a satisfaction survey and customer expectations to identify the quality criteria that need improvement.
  • Assess the extent and cost of a quality problem.
  • Determine the main root causes of a simple quality problem.
  • Conduct a comparative assessment of different potential solutions.
  • Develop a performance management system for processes.
  • Lead a DMAIC project for solving simple quality problems.

 

Six Sigma Green Belt Module

  • Define the quality indicator to improve within the company's processes based on an analysis of customer requirements.
  • Define the operational parameters to measure, how to measure them, as well as the sample cases to be collected in order to gather the necessary data for analyzing non-quality factors.
  • Aproximately validate the reliability of the quality measurement system for the company's products or services in order to collect data that sufficiently reflects the reality of operations.
  • Identify certain non-quality factors using statistical analysis with a view to achieving an initial level of improvement.
  • Develop a performance management system for processes based on statistical quality control.
  • Lead a DMAIC project for solving complex quality problems.

Public visé

  • Project managers / consultants (internal or external) in organization, quality, continuous improvement or operational excellence

  • Logistics managers

  • Supply Chain Managers

  • Production managers

  • Quality managers
  • All sectors (industry and services)

Prérequis

Aucun

Modalités pédagogiques

  • Inductive pedagogy
    – experimentation with the Lean improvement method (Kaizen Event) through a role-playing game simulating a cross-company process (order reception, processing/production, invoicing, shipping).
    – learning the DMAIC method through a business case study serving as a guiding thread throughout the training.
    – learning the "indiscernible" problem-solving method and utilizing statistical tools on a service level improvement case (paper flying machines) executed in class by the participants.
  • Groups of a maximum of 12 people facilitated to encourage interactivity, sharing of ideas and experiences, and development of their professional network.

Moyens et supports pédagogiques

  • Use of statistical analysis software JASP and Statoscopex.
  • Provision of statistical calculators and analysis models in Excel.
  • Training materials available in PDF versions.
  • Self-assessment and training test at the end of each module.

Modalités d'évaluation et de suivi

Lean Management and Six Sigma Green Belt Certifications obtained based on the successful completion of the Lean Management and Six Sigma Green Belt exams.

These exams validate the acquisition of knowledge in Lean Management and Six Sigma Green Belt according to the LSSx.0 body of knowledge, which is necessary for the development of the targeted competencies. It includes a mix of recall questions (e.g., definitions), execution questions (e.g., calculations, tool selection), and application questions (e.g., drawing conclusions based on results, making decisions in given situations).

  • Online exams, closed book under video surveillance from the candidate's computer.
  • Lean Management exam: 25 questions in 50 minutes.
  • Six Sigma Green Belt exam: 35 questions in 70 minutes.
  • Language: French or English.
  • The exams must be taken within 6 months after the training.
  • The candidate freely schedules their exams at a date and time that suits them.
  • Passing criterion: result ≥ 60%.
  • A retake is allowed in case of failure.
  • It is possible to retake the exam in case of a second failure upon purchasing a new exam.

Informations sur l'accessibilité

Lean Six Sigma Belgium is committed to providing training accessible to people with disabilities.

 

We are here to listen and discuss together to determine the adjustments needed to ensure participants with disabilities have the best training experience possible.

Our training locations are selected to accommodate people with reduced mobility under good conditions.

Formations liées

Cette formation est composée de plusieurs formations disponibles également individuellement :

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  • 03/11/25 → 14/11/25 À distance
    Classe virtuelle

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