Six Sigma Yellow/Green Belt with GMP

In the course, you will first learn how to use the Six Sigma management system, from the basics to the implementation of more complex Six Sigma projects in your company. As a Six Sigma Green Belt, you will sustainably increase your efficiency in project management and be able to manage improvement processes professionally. In the further course, the topic of Good Manufacturing Practice (GMP) is dealt with in particular - guidelines for quality assurance of production processes and environments, for example in the pharmaceutical industry, but also in the production of cosmetics, food and animal feed are described here. You will also learn how artificial intelligence is used in your profession.
  • Certificates: Certificate "Six Sigma Yellow & Green Belt"
    GMP - Good Manufacturing Practice" certificate
  • Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
    „Six Sigma Yellow & Green Belt”
  • 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: 8 Weeks

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)

GMP - Good Manufacturing Practice

Introduction to GMP (approx. 2 days)

EU GMP guidelines, AMG, AMWHV

Authorities, drug approvals, marketing authorization

Key persons

FDA, CFR 21

International regulations

AI in the pharmaceutical environment


SOP system (approx. 2.5 days)

Requirements for SOPs

Structure of SOPs

Document control and version management


Training system (approx. 1.5 days)

Employee qualification

Training planning and documentation

Effectiveness control


Deviation and CAPA management (approx. 2 days)

Deviations and CAPA

Requirements for deviation and CAPA management

Documentation of deviations

Error cause analysis

Corrective and preventive measures

CAPA process

AI-supported data analysis for root cause identification


Change management (change control) (approx. 1 day)

Requirements for change management

Notifiable changes, classification of changes

Risk management in the change process

Change management process


Validation and qualification (approx. 1.5 days)

Device, system and room qualification

Process, cleaning and method validation

Qualification and validation process

Qualification and validation documentation


Quality control (approx. 1 day)

Sampling and testing

stability

Dealing with OOS

Storage status

AI-supported evaluation of test data


Complaints management (approx. 0.5 days)

Complaints

Product recall


Audit management (approx. 0.5 days)

Audit types and audit process

Internal audit and FDA inspection

AI-supported data analysis for audit preparation


Supplier qualification (approx. 0.5 days)

Supplier qualification and evaluation


Review and trending (approx. 0.5 days)

Batch Record Review

Product Quality Review

Management Review


Industrial hygiene in the pharmaceutical industry (approx. 2 days)

Personnel hygiene

Hygiene requirements

Clothing and behavior

Production hygiene

Contamination prevention

Hygiene plans


Documentation (approx. 0.5 days)

GMP documentation and data integrity

AI-supported support for document review


Production rooms - clean rooms (approx. 1 day)

General requirements for production rooms

Requirements for premises including storage areas

Avoidance of cross-contamination


Project work (approx. 3 days)

To consolidate the content learned

Presentation of the project results



Changes are possible. The course content is updated regularly.

Knowledge of quality-related activities is recommended for the course.

The course enables you to implement Six Sigma projects independently and successfully in accordance with ISO 13053-1 (DMAIC). You will be able to use the specific tools and methods with confidence and thus implement complex improvement projects responsibly.

Furthermore, you are familiar with the requirements of a GMP system, the applicable regulations and the central processes of pharmaceutical quality management. You will understand the basics of SOP systems, CAPA, change management, audit processes, documentation, quality control, industrial hygiene and cleanroom requirements and be able to classify relevant technical terms with confidence.

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.

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.

Additional GMP knowledge is essential in almost all areas of the production of pharmaceuticals and active ingredients, as well as cosmetics, food and animal feed. Your newly acquired knowledge will open up numerous new opportunities for you in these sectors.

Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.

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.