Lean Six Sigma formation
Lean Six Sigma Green Belt
Description and objective
The Lean Six Sigma Green Belt training is a structured and disciplined management method based on process improvement targeting quality. The method aims at reducing the risk of going outside of the client’s expectations by delivering perfect products and services on a consistent basis. It focusses to all types of processes owing to organization complexity and process internalization.
While lean management refers to value preservation focusing on eliminating non-value added (waste) resources or activities, Six Sigma is a set of techniques and tools used for process improvement: Lean projects refer thus to waste elimination projects whereas Six Sigma projects are connected to the critical to quality characteristics.
Our training teaches and prepares you to observe and deal with improvement issue, implement principles, practices and underlying techniques and tools for managing lean issues.
Our Lean Six Sigma Green Belt five-day training provides you with an effective understanding and learning of what you, as effective team member, are required to perform so: Ability to deal with improvement issue in terms of, among others, project support, management of small projects and typical process-level improvement projects, DMAIC process follow-up, information escalation to Lean Six Sigma Black Belt and Master Black Belt. Following our program, you would be able to pass the ASQ certification and to act like a certified Lean Six Sigma Green Belt member.
Our offer consists of a simplified five-day training to prepare you to the Lean Six Sigma Green Belt certification and to execute related duties. It contains the handbook, reading materials and exam entry. Extra coaching and support are not included but are available upon request.
Persons from diverse operational functions (quality, logistics, finance, production, engineering,…).
Persons having experience or interests in operational excellence, process understanding and continuous improvement.
Our workshop and business case programs employ teaching methods which focus on the mental, physical and emotional development of participants. Their contents are specifically tailored to the training objectives, the participants and the organizational culture. Our teaching methods are both participatory and collaborative, involving problem solving, role playing and project management. They offer motivating challenges and stimulate participants to invest in their training.
Six Sigma and the organization
All organizations cope with challenges of getting profitable so they stay in business. How to deal with it? This section presents you key concepts and underlying Six Sigma model so you will understand Six Sigma approach and benefits.
Presentation and key concepts (value, 5S, theory of constraints, DFSS, QFD, DFMEA, PFMEA,…)
DMAIC model (Define, Measure, Analyze, Improve, Control)
This section defines the project management process for the Green Belt improvement project and the issues tackled by the Green Belt project team.
Process management (survey, focus group, interview, CTQ, QFD,…)
Project management (Gantt chart, CPM, PERT,…)
Management and planning tools (affinity diagram, interrelationship diagraph, tree diagram, prioritization matrix, matrix diagram, PDPC, activity network diagram,…)
Business results (DPU, RTY, COPQ, DPMO, FMEA, RPN)
Team dynamics and performance (brainstorming, NGT, multi-voting,…)
This section provides you with measuring tools and techniques so you will be likely to quantify your process effectiveness.
Process analysis (SIPOC,…)
Probability and statistics (central limit theorem, confidence intervals, control charts,…)
Data collection and summarization (stem-and-leaf plot, box-and-whisker plot, run chart, scatter diagram, Pareto chart,…)
Probability distributions (normal, binomial, Poisson, chi-squarre, Student, Fischer distributions,…)
Measurement system analysis (GR&R,…)
Process capability and performance (process capability,…)
This section teaches you how to isolate key pieces of information, from former measuring tools, that are critical to explain your process effectiveness.
Exploratory data analysis (p-value,…)
Hypothesis testing (type I and ll errors, significance, ANOVA, chi-squarre,…)
Improve and Control
This section focusses on tools and techniques enabling you to improve and control your processes.
Design of Experiments (DOE,…)
Statistical Process Control (SPC, control chart, individuals and moving range, median,…)
Solution implementation and validation (brainstorming, FMEA and F-test, t-test,…)