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Certificates: Certificate "Six Sigma Yellow & Green Belt"
Statistics" certificate -
Examination: Practical project work with final presentations
Six Sigma Green Belt exam -
Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 8 Weeks
Quality management - Six Sigma Yellow & Green Belt
Six Sigma Yellow Belt (approx. 1 week)
Introduction to the Six Sigma strategy
The Six Sigma organization: roles and tasks
The DMAIC method
Define phase
Customer requirements (Voice of Customer)
Specific project requirements (CTQs)
Problem identification and description
Process visualization (SIPOC diagram)
Measure phase
Process Mapping, Cause & Effect Matrix
Process capability and process indicators
Fundamentals of statistics
Introduction to statistical software incl. graphical methods
Analysis phase
Data analysis methods (overview)
Cause-effect analysis (fishbone diagram, Ishikawa)
Risk analysis (FMEA)
Improve phase
SWOT
Generate solution ideas
Estimate financial impact
Control phase
Control plan
Poka Yoke
Documentation
Project work
To deepen the content learned
Presentation of the project results
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Six Sigma Green Belt (approx. 3 weeks)
Project management with Six Sigma
Green Belts as project management
Teamwork and leadership
Define phase
Define project and create project order
Determining costs and formulating objectives (benefits)
Team composition, schedule and milestones
Measure phase
Reliable and representative data collection Measurement System Analysis (MSA)
Graphical representation of data
Analysis phase
Process capability analysis
Statistical test & analysis methods (ANOVA etc.)
Methods of process visualization
Focusing and hypothesis development
Improve phase
SWOT
Design of Experiments (DoE)
Select and implement solutions
Control phase
Development of a process monitoring plan
SPC control charts
Review of the results of the improvement project
Presentation of the results
Integration into existing QM systems
Project work
To deepen the content learned
Presentation of the project results
Six Sigma Green Belt exam
Statistics
Statistical basics (approx. 6 days)
Measurement theory basics (population and sample, sample types, measurement and scale levels)
Univariate descriptive statistics (frequency distributions, central measures, measures of dispersion, standard value, histograms, bar charts, pie charts, line charts and box plots)
Bivariate descriptive statistics (measures of correlation, correlation coefficients, crosstabs, scatter plots and grouped bar charts)
Basics of inductive inferential statistics (probability distribution, normal distribution, mean value distribution, significance test, Fisher's null hypothesis test, effect size, parameter estimation, confidence intervals, error bar charts, power analyses and determining the optimum sample size)
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Methods for comparing two groups (approx. 5 days)
z- and t-test for a sample (deviation from a specified value)
t-test for the mean difference between two independent/connected samples
Testing the effectiveness of actions, measures, interventions and other changes with t-tests (pretest-posttest designs with two groups)
Supporting significance tests (Anderson-Darling test, Ryan-Joiner test, Levene test, Bonnet test, significance test for correlations)
Nonparametric methods (Wilcoxon test, sign test, Mann-Whitney test)
Contingency analyses (binomial test, Fisher's exact test, chi-square test, cross-tabulations with measures of association)
Methods for comparing the means of several groups (approx. 5 days)
One- and two-factorial analysis of variance (simple and balanced ANOVA)
Multi-factorial analysis of variance (general linear model)
Fixed, random, crossed and nested factors
Multiple comparison methods (Tukey-HSD, Dunnett, Hsu-MCB, Games-Howell)
Interaction analysis (analysis of interaction effects)
Selectivity and power analysis for variance analyses
Introduction to Design of Experiments (DoE) (approx. 1 day)
Full and partial factorial experimental designs
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
The course enables you to implement Six Sigma projects independently and successfully in accordance with ISO 13053-1:2011-09. You will be able to use the specific tools and methods with confidence and thus implement complex improvement projects responsibly.
You will also understand the basics of statistics, be able to process and evaluate data and present, explain and interpret statistical data analyses and results using graphics.
People with a degree in engineering, technicians, foremen and specialists from the production and service sectors and people from the areas of quality management, administration and sales who want to carry out and manage improvement projects using the Six Sigma method.
Users and specialists from social and market research, business administration (marketing, business intelligence), technical areas, production, quality assurance and research in the healthcare sector.
Six Sigma is an internationally standardized and recognized method of quality management and a management tool for process improvement. By obtaining the Green Belt, you demonstrate your mastery of the methodology in your profession. As a Six Sigma project manager, you will be in demand across all industries in medium-sized and large companies, thus enhancing your career profile in the long term.
A sound knowledge of statistics is a valuable additional qualification that is in great demand in industrial research and development, in drug development, in the supervision of medical studies, in finance and insurance, in information technology or in public administration.Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).