You learn the most basic about Lean Six Sigma and how to improve your own processes.
This includes setting clear goals, obtaining data and facts to uncover causal relationships, introduce simple, effective solutions that last.
You learn the most basic about Lean Six Sigma and how to improve your own processes.
This includes setting clear goals, obtaining data and facts to uncover causal relationships, introduce simple, effective solutions that last.
You learn methods and tools to lead successful improvement projects and to become a good problem solver.
This includes to choose the right project, understand the problem, measure current situation, analyze, prove, and solve root causes to create lasting results.
You learn to use DMAIC to solve complex problems and lead improvement projects with cross-functional teams.
You learn to use data analysis and visualization for process improvement and product development, and guide others in improvement methods.
You learn methods and best practices to align an organization towards common goals, achieve operational control, and continuously improve.
The course covers how to facilitate project selection, break down strategic goals into operational objectives, and develop leadership skills to drive successful change.
You learn to identify, prove and solve true root causes to ensure lasting results.
The course follows Six Sigma's DMAIC, with main focus on Measure & Analyze phase.
You learn to use an A3 template to solve problems in 7 steps.
Start with the background, map the current situation, set a specific goal, analyze, prove & solve root causes, follow up for lasting results.
You learn to focus on value-adding activities to achieve your goals.
This includes productivity tools and techniques to measure, evaluate, plan and improve your time management.
You learn to use Statistical Process Control - SPC to react properly to measurement results.
This includes use of control charts to separate normal and special cause variation, consider stability and capability.
You learn to use Measurement System Analysis (MSA) to consider precision, accuracy, stability, sensitivity, and capability of your measurements.
Reliable measurements are necessary to make good decisions and improve.
You learn to develop hypothesis and to test if they are true or false (useful for understanding causal relationship).
This includes determining whether data sets have significant different centering and/or variation.
You will learn to use the statistical software JMP to perform relevant analyses during your DMAIC project.
This includes describing datasets, assessing distribution, creating control charts, conducting MSA, performing regression analysis, hypothesis testing, DOE, and analyzing variation.
Lean Tech AS | Snøfonna 5
0047 481 23 070
Lørenskog, Norway
L - Look for solutions
E – Enthusiastic
A – Analytical
N - Never give up