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Certificates: Certificate "Quality representative with TÜV Rheinland-certified qualification"
Certificate "Six Sigma Yellow & Green Belt"
Certificate "Siemens NX and surfaces" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Qualitätsbeauftragte:r mit TÜV Rheinland geprüfter Qualifikation
„Six Sigma Yellow & Green Belt” -
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: 16 Weeks
Quality officers with TÜV Rheinland-certified qualifications
Basics of quality management (approx. 1 day)
Terms and definitions
Quality management
Quality management systems
Standards and guidelines
Process basics (approx. 1 day)
What is a process?
Process management according to ISO 9001
Identification of processes
ISO 9001 process model
Corporate environment (approx. 1 day)
Context of the organization
Interested parties
Scope of application
Management (approx. 1.5 days)
Commitment to the QM system
Quality policy
Responsibilities and powers
Planning (approx. 1 day)
Dealing with risks and opportunities
Quality objectives and planning
Planning changes
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Support (approx. 2 days)
Resources
Competence
Awareness
Communication
Knowledge of the organization, knowledge management
Documentation of the quality management system
Operation (approx. 2 days)
Operational planning
Requirements for products and services
Product development
Predictive failure avoidance with FMEA, QFD, Poka Yoke
External provision
Supply Chain Act (LkSG) and EU Sustainability Directive (CSDDD)
Production and service provision
Release of products and services
Control of non-conforming results
Evaluation of performance (approx. 1.5 days)
Monitoring and measurement
Internal audit
Management review
Improvement (approx. 1 day)
Non-conformity and corrective actions
Continuous improvement
Auditing and certification (approx. 1.5 days)
Fundamentals of auditing
Internal audits
Audit procedure
Auditing external providers or external parties
Certification audit
Communication (approx. 2 days)
Building blocks of communication
The iceberg principle of communication
The four-ears model
Communication behavior in audits
Project management (approx. 1 day)
Definition of project
Managing projects successfully
Total Quality Management (approx. 0.5 days)
Quality of an organization
ISO 9004: Guidance for achieving sustainable success
EFQM Model for Excellence
Project work, certification preparation and certification examination "Quality Officer with TÜV Rheinland certified qualification" (approx. 3 days)
Quality management - Six Sigma Yellow & Green Belt
Six Sigma Yellow Belt (approx. 1 week)
Introduction to the Six Sigma strategy - Yellow Belt (approx. 1.5 days)
What is Six Sigma? History and philosophy
DMAIC project phases at a glance and their individual objectives
Roles and responsibilities
Six Sigma in the context of lean and QM (OpEx)
AI as an assistant for structuring the project objective, scope and stakeholders
AI in the improvement project (approx. 0.5 days)
Types of AI (ML,DL,LLM,GenAI)
Data and prompt basics
Governance and security
Define phase (approx. 0.5 days)
Problem and project definition (Project Charter)
Understanding customer requirements (VOC-CTQ)
Process mapping (SIPOC)
Operational definition and data quality
AI-supported clustering of simple VOC examples
Measure phase (approx. 0.5 days)
Process mapping (flow chart and swimlane)
Insight into measurement system analysis (MSA)
Basic key figures (DPMO, Sigma Level)
Data types and collection (graphical analyses)
AI for measurement plan checklists, plausibility checks
Analysis phase (approx. 1 day)
Cause-effect analysis (5-Why, Ishikawa)
Basics of statistical methods
Insight into machines and process capability
Improve phase (approx. 0.5 days)
Generate solution ideas (Poka Yoke)
Risk assessment and introduction of FMEA
Control phase (approx. 0.5 days)
Definition of process monitoring (control plan)
Insight into statistical process control (SPC)
Process documentation and standardization (SOP)
Six Sigma Green Belt (approx. 3 weeks)
Project management with Six Sigma - Green Belt (approx. 1 day)
Green Belts as project managers
Work breakdown structure (WBS), project communication and documentation
Teamwork and leadership
Going through DMAIC project phases using advanced statistics application tools and methods
AI-supported project management: risks/dependencies, schedule risk analysis
Define phase (approx. 1.5 days)
Project profile, business case
Project scoping, stakeholder and risk analysis
VOC in CTQ transformation (CTQ tree)
Team composition, project planning (Gantt chart, milestone planning)
Cost calculation and target formulation (benefit)
Measure phase (approx. 2.5 days)
Advanced statistical basics
Visualization and interpretation (histogram, run chart, box plot)
Short-term vs. long-term capability (MFU, PFU)
Calculation and interpretation of the sigma level
Process indicators (Pp, Ppk, Cp, Cpk)
Measurement system analysis (MSA), bias, gage R&R
AI-supported data checks (missing values, outlier indications)
Analysis phase (approx. 4 days)
Hypothesis development, correlation analysis
Correlation (Pearson) and analysis of variance (ANOVA)
Lean time and value flow (yield, OEE, VSM)
Text/error code clustering for Pareto according to failure modes with AI
Improve phase (approx. 1 day)
Design of Experiments (DoE)
Solution generation and creativity methods (mind mapping, brainstorm/writing, 6-3-5 method)
Testing (Poka Yoke, piloting, cost-benefit analysis)
Risk minimization (FMEA, RPN evaluation)
Implementation
Control phase (approx. 1 day)
Sustainable implementation (control plan)
SPC, quality control charts (X̄-R chart, X̄-s chart)
Process monitoring (KPI, dashboard, BSC)
Project completion and handover
AI-supported KPI story/management summary
Project work, certification preparation and certification examination (approx. 4 days)
Siemens NX and surfaces
Basics (approx. 2 days)
General basics
File management, default settings
User interface
Coordinate systems in Siemens NX
Model creation (approx. 6 days)
Sketch creation and editing
Sketch management
Shape elements: extrude, rotate, sweep, lofting, Boolean operations
Reference elements
Design changes in the model
AI-supported modeling support:
Recognition of geometric features by AI, Automated suggestions for shape elements and features
Introduction to Convergent Modeling
Artificial intelligence in the work process (approx. 2 days)
Introduction to AI in the context of the Siemens NX CAD system
Practical examples of prompt engineering in design
Use of AI to support error messages and troubleshooting
Design with Siemens NX (approx. 4 days)
Synchronous design
Parameter-driven updates
Design logic, working with expressions
Sketch geometry with the Sketch environment
Working with layers, layer categories
Creating part families | variant design
Reuse library, creating your own library
Sheet metal design (approx. 1 day)
Modeling in the sheet metal and model environment
Assembly and collaboration (approx. 5 days)
Creating assemblies and loading options
Constraints management
Master model concept
Positioning the components in the assembly
Use of the assembly navigator
Integrated collision checks and tolerance analyses, use of rules and test protocols
Cloud and collaboration functions in Siemens NX
Drawing creation (approx. 5 days)
Creating and editing drawing sheets
Individual part drawing
Assembly drawings
Creating and expanding symbol libraries
Model-Based Definition (MBD)
Product Manufacturing Information (PMI)
Automation and API integrations (approx. 2 days)
Creation and use of macros and journals
Automation of testing and modeling processes
Introduction to API structures of Siemens NX (NX Open, Open C API, GRIP)
Surface modeling (approx. 3 days)
Reference elements or raster image
Studio spline, curves
Extruded surfaces
Additive manufacturing application example: surface modeling for free-form surfaces and printable geometries
Project work (approx. 10 days)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
Once you have completed the course, you will be able to plan, introduce and maintain a quality management system and monitor its effectiveness. You will also have professional knowledge in the application of DIN EN ISO 9001 and in the planning of internal quality audits.
You will also be familiar with the specific tools and methods of Six Sigma in order to implement projects independently and successfully.
After completing this course, you will also be able to implement sophisticated 3D designs with Siemens NX efficiently, precisely and in accordance with current industry standards. You will have in-depth skills in parametric modeling, assembly development, technical drawing creation and surface modeling for free-form geometries. In addition, you can integrate modern tools such as AI-supported modeling assistance, automated checking processes, API-supported automation and cloud-based collaboration into the design process in a targeted manner. Knowledge of convergent modeling and additive manufacturing will expand your profile for innovative development environments.
The course is aimed at people with a degree in engineering and experience in the field of design, product designers, technicians, technical draughtsmen from the fields of mechanical or electrical engineering and specialists from other sectors with relevant professional experience.
An additional qualification as a quality officer is in demand from companies of all sizes in industry, trade and the service sector. After the course, you can provide meaningful proof of your new skills with a TÜV Rheinland-certified qualification.
As a Six Sigma project manager, you will also enhance your career profile across all industries.
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).