Quality Representative, Six Sigma Green Belt, CATIA, and Surfaces

This course not only covers complex 3D design and parametric surface modeling with CATIA, but also teaches you how to plan, maintain and monitor the effectiveness of a QM system and how to implement more complex Six Sigma projects. You will also learn how artificial intelligence (AI) is used in the profession.
  • Certificates: Certificate "Quality representative with TÜV Rheinland-certified qualification"
    "Six Sigma Green Belt" Certificate
    Dassault Systèmes certificates "CATIA Part Design Associate" and "CATIA Assembly Design Associate"
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    Qualitätsbeauftragte:r mit TÜV Rheinland geprüfter Qualifikation
    „Six Sigma Yellow & Green Belt”
    CATIA Part Design Associate und CATIA Assembly Design Associate
  • Teaching Times: Full-time
    Monday 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.)
  • Language of Instruction: German
  • Duration: 16 Weeks

CATIA and surfaces

Introduction to CATIA V5 (approx. 1 day)

CATIA work areas, operation and user interface

Basic functions, preferences, units, templates


AI and automation in CATIA (approx. 1 day)

Presentation of specific AI technologies

AI in the design and automation of the design process


Creating solids (approx. 13 days)

Creating and editing sketches

Components based on sketches

Advanced solid modeling

Methods of creation

Preparation and transformation components

Creating wireframe geometries

Components based on surfaces

Analyzing and editing the solid model

Rearranging and repairing models

Parameterization and reuse

Creation of standard parts and catalogs

Creating and using PowerCopys

Creating document templates for parts


Assembly modeling (approx. 5 days)

Design methods (bottom up/top down)

Positioning and manipulation of components

Assembly conditions and degrees of freedom

Standard parts, catalog elements

Structuring of assemblies

Sub-assemblies and assembly management

Analysis methods

Scene generation

Generative Structural Analysis (GSA/GPS/GAS)

 


Drawing creation (approx. 5 days)

Sheets, templates and format management

Derivation of 2D views from 3D models

Creating views and sections

View preparation

Exploded views

Formatting and inserting parts lists

Dimensions, fits, surface textures and reference elements

Drawing frames and title blocks


Further topics (approx. 2 days)

Insight into sheet metal construction


Excursus: CATIA surface modeling - wire geometry/wireframe (approx. 1 day)

Point types, lines, axes, polylines, planes, projected offset curves

Special curves: spline, helix/spiral, guide curve, isoparametric curves


Excursus: CATIA surface modeling - surface generation (approx. 1 day)

Profile surfaces: extrude - rotate

Surfaces of boundary curves: filling/transition surfaces, distance and loft surfaces


Excursus: CATIA surface modeling - geometry processing (approx. 1 day)

Connecting/repairing, trimming/separating


Project work, certification preparation and CATIA certifications: Part Design Associate & Assembly Design Associate (approx. 10 days)

Partial examinations: CATIA Part Design Associate and CATIA Assembly Design Associate

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 Green Belt

Introduction to Six Sigma (approx. 1 day)

What is Six Sigma? History, Philosophy, and Strategy

DMAIC Project Phases, Objectives, and Roles

Six Sigma in the Context of Lean, Quality Management, and Operational Excellence

Hybrid Project Management with DMAIC for AI Projects


AI-Powered Project Management (approx. 1 day)

Fundamentals of Artificial Intelligence 

Applications Along the DMAIC Framework, Limitations, and Risks

Data and Prompt Fundamentals, Context, and Quality Criteria

Governance, Security, the EU AI Act, and the GDPR

AI Dashboard, Information Consolidation, and Quality Gates


Define - Define (approx. 3 days)

Project identification, strategic relevance, and key metric driver tree

Distinction from CIP and PUL (Problem, Cause, and Solution)

Project Profile: Problem Description and SMART Goal Definition

Scope and boundaries, as well as AI-supported completeness check

LIPOK and Voice of the Customer (VoC)

Affinity Diagram and Kano Model

VoC-to-CTQ transformation, specifications, and acceptance criteria

AI-supported analysis and technical validation of customer requirements

Cost-effectiveness: ROI, TCO, and qualitative benefits

Stakeholder Analysis and AI-Supported Project Planning

Risk analysis and preventive measures

Change management and motivation for change

Communication strategy, elevator pitch, and AI-supported change story

Quality Gate Review: Define


Measure - Measurement (approx. 3 days)

Mathematical process model and cause-and-effect chain of the CTQs

Influence factor analysis using Ishikawa and KSR, as well as an AI-supported metric matrix

Data Types and Measurement Scales

Operational definition, data collection methods, and sampling strategy

Data collection plan and control using an AI dashboard

Measurement system analysis: bias, repeatability, reproducibility, and gage R&R

Data quality, plausibility checks, and AI-supported data cleaning

Data visualization, statistical metrics, and machine and process capability

AI-Supported Interpretation of Measurement Results and Quality Gate Review Measure


Analyze - Analysis (approx. 3 days)

Process and Data Gates, as well as Value-Added Analysis

Value stream analysis, spaghetti diagram, TIMWOODS, and Makigami

Distinguishing Between Symptoms, Problems, and Causes

Cause-and-effect and Pareto analysis, as well as AI-supported error code clustering

Hypothesis Formulation and AI as a Sparring Partner

Design of Experiments and AI-assisted testing of influencing factors

Correlation and regression analysis, as well as statistical hypothesis testing and group comparisons

AI-Supported Evidence Matrix and FMEA

Quality Gate Review and Analysis


Improve - Innovative Improvement (approx. 3 days)

Creativity Techniques and AI-Supported Solution Development

Lean solution principles as well as technical and organizational measures

Solution approaches using generative AI, automation, and robotics

Regulatory and organizational requirements for AI deployment

AI-specific risk assessment, as well as feasibility and maturity level analysis

Solution evaluation

Acceptance and cost-benefit analysis

Implementation plan and pilot program with success and acceptance criteria

Iterative Approach for AI Pilots and Quality Gate Review Improve


Control - Controlling and Sustainable Implementation (approx. 2 days)

Go-Live, Process Stabilization, and Support During the Start-up Phase

Standard Operating Procedures and Controlling Plan

KPIs, statistical process control, control charts, and corrective actions

Balanced Scorecard and AI-Based Monitoring

Audit Concept

Project completion, handover, and AI-supported documentation

Quality Gate Review Control


Project work, exam preparation, and final exam (approx. 4 days)



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.

In addition, after completing the course, you will be able to independently and successfully implement Six Sigma projects in accordance with ISO 13053-1 and the DMAIC framework. You will confidently apply the specific tools and methods of process and data analysis, derive improvements based on data, and consistently use AI as a methodological aid. You will design Quality Gate Reviews based on the DMAIC framework and develop AI-powered dashboards for project management, quality control, and decision support.

You will also be able to create complex 3D designs efficiently and accurately using CATIA V5 and apply your advanced surface modeling skills.

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.

Specialists in the field of quality management are in demand from both large and medium-sized companies in industry, trade and the service sector. After the course, you will be able to 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.

Solid knowledge of CATIA V5 will also significantly improve your chances on the job market. CATIA V5 is used in design and development departments worldwide, particularly in the automotive and aerospace industries and their suppliers. With the original CATIA certification, you provide a detailed insight into the qualifications you have acquired and prove your knowledge of one of the most sought-after design products in the industry.

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).

We will gladly advise you free of charge.

0800 3456-500 Mon. - Fri. from 8 am to 5 pm
free of charge from all German networks.

Contact

We will gladly advise you free of charge. 0800 3456-500 Mon. - Fri. from 8 am to 5 pm free of charge from all German networks.