Process optimization with lean, kaizen and CIP and artificial intelligence (AI) and prompting for managers and project managers
-
Certificates: Certificate "Process optimization with Lean, Kaizen and CIP"
Certificate "Artificial intelligence (AI) and prompting for managers and project managers" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
-
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.)
-
Language of Instruction: German
-
Duration: 5 Weeks
Artificial intelligence (AI) and prompting for managers and project managers
Basics of artificial intelligence (AI) (approx. 0.5 days)
What is AI?
How AI works and areas of application
Importance and relevance for managers and project managers
Prompting - Effective collaboration with AI systems (approx. 1 day)
Introduction to prompting and AI dialogs
Prompting strategies: Zero-shot, few-shot, chain-of-thought, multi-prompting
Key components for effective prompting
Application in a management and project context
Recognizing pitfalls (bias, hallucination)
Use cases and possible applications of AI in companies (approx. 0.5 days)
Practical examples and tools such as ChatGPT, Copilot Chat and Gamma
Management perspective - personnel development, communication, decision support
Project perspective - project planning, resource deployment, monitoring and reporting
Legal basics (approx. 0.5 days)
EU AI Act and implications for companies and projects
Copyright, right of use, data protection, GDPR
Opportunities, risks and ethical issues (approx. 0.5 days)
Bias, hallucination and data quality
Responsible use of AI in the company
Effects of AI on the understanding of leadership (approx. 1 day)
Communication in the age of AI - human-machine collaboration
Preparing employees for the use of AI
Making management tasks more efficient with AI
AI-supported control, change management in hybrid teams
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Continuous process optimization with Kaizen
What is CIP/Kaizen? (approx. 0.5 days)
Historical development of the CIP (approx. 1.5 days)
General conditions for CIP
Saturated and unsaturated markets
Supply/demand orientation
Japanese corporate culture
Toyota Production System
Development of quality management systems, ISO 9001
TQM quality awards, EFQM model (2020)
Six Sigma
Philosophy of CIP/Kaizen (approx. 1 day)
The five central principles
Continuous improvement in ISO 9001 (7 principles, PDCA process model) and continuous improvement
Interaction of innovation, standard and kaizen
Internal customer/supplier principle
Process wear and tear
Informal evasive action
Change management
Tasks of management and employees
Worker self-assessment
CIP impulses
Customer requirements and satisfaction (approx. 1 day)
Society and market movements
Integrated management systems
Vuca and agility
Requirements and wishes
Kano model
Stakeholder analysis
CTQ Translation Matrix
CTQ Tree
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Lean in quality management
Process optimization: Efficiency for the benefit of customers - lean management (approx. 0.5 days)
Philosophy: Focus on customer requirements
Productivity - Quality - Availability - Flexibility
Implementation and Kaizen (approx. 0.5 days)
Environment for Kaizen
Corporate culture of improvement and optimization
Visual Management
5S method/5A campaign
Eliminate waste (approx. 1 day)
Value creation/Muda
MIT study
Elimination of the three MU's, the 3-MU checklist
7 types of waste (TIMWOOD)
8V rule
Mura and Muri
Synchronize processes (approx. 0.5 days)
Production in the customer cycle
Cycle time, cycle time, throughput time
Cell logic, omega cell, chaku-chaku principle
One-piece flow
Pull principle (supermarket) and push principle
Just-in-time logistics [JIT]
Customer-oriented, highly efficient value streams (approx. 0.5 days)
Structure of a value stream
Value creation quotient [WQ]
Visualization: benefits, symbols, data box
Production leveling/Heijunka (approx. 0.5 days)
Heijunka versus series
Heijunka box
Batch size 1
Application example
Increasing the number of cycles
Kanban flow system (material and information flow)
Kanban project
Improving production facilities (approx. 0.5 days)
TPM, autonomous maintenance
Key figure OEE
Minimization of set-up times
SMED/EKUV
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Continuous improvement process (CIP)
Standardize processes (approx. 1 day)
Quality policy standardization
Advantages of standards
Standards in the company
Questions about the standard
Defining processes, from the process landscape to the process description
Visualization
Process planning
3 process states
Controlling processes (approx. 2 days)
ISO 9001 requirements (4.4, 8.1, 8.5.1): capable and controlled processes
Customer key figures (Cpk/Sigma level)
Selection of methods: Stacey matrix, Cynefin
Process management
Process analysis
Standard tools
Q7 and M7
Six Sigma tools
Process efficiency analysis
Data analysis, Statistical Process Control [SPC]
Statistical basics
SPC in series production: interpreting the quality control chart [QRK], automation (Jidoka)
Evaluation models (approx. 1 day)
PDCA: Improvement of improvement
Self-assessment maturity level ISO 9004 and EFQM
Management assessment according to ISO 9001
6-W questioning technique
4-M/7-M checklist
Benchmarking and best practice
BSC
Hoshin Kanri, X-Matrix
Measuring customer and employee satisfaction
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Continuously improve processes (approx. 0.5 days)
Customer satisfaction
Avoid mistakes
Error culture and Hansei
Avoiding mistakes (approx. 0.5 days)
Development according to customer requirements: QFD and design thinking
Risk management
Risk landscape
Risk matrix
Failure mode and effects analysis [FMEA]
Poka Yoke
Internal audits
Dealing with defects (approx. 1 day)
Error classification (DIN 55350)
Customer communication: complaint management, 8D report
Corrective actions, the search for root causes: 10 steps to problem solving with tools (Q7, M7)
Problem-solving funnel with 6 W and 5 times Why (Root Causes)
Fault tree, cause map
A3 problem-solving sheet
Empowering employees (approx. 1 day)
Why and how?
Ownership and entrepreneurship
Task of the manager
Employee satisfaction
ISO 9001: Competence and awareness, knowledge management
Idea management (BVW)
Lean: Teamwork
Quality Circle [QC]
Order fulfillment and problem solving in a team: project management and Scrum
Community of Practice [PoC]
Visual Management (approx. 0.5 days)
Purposes, advantages, methods
Visual process control, Andon (traffic light)
Store floor management
Quality controlling - finances (approx. 0.5 days)
The 10 rule of failure costs
Costs for conformity and error costs
Liability cost trap
Project work (approx. 1 day)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
After the course, you will be able to identify potential for improvement and carry out step-by-step optimization in an efficient and targeted manner. Furthermore, you will have the right understanding of a functioning lean philosophy in the company.
In addition, you will have basic knowledge and practical skills for the use of AI technologies in a corporate and project context. You are proficient in using tools such as ChatGPT, Copilot Chat and Gamma and can develop strategies to understand, evaluate and select AI systems. You will also be able to take legal and ethical aspects into account and successfully support employees and project teams in the use of AI.
The course is aimed at specialists and managers from the areas of quality and process management as well as those responsible for change processes.
Process optimization specialists are in high demand across all industries and are among the most important specialists in modern companies.
Additional know-how in artificial intelligence (AI) helps you as a specialist and manager to advance companies in the digital transformation and to use AI as a tool to improve efficiency, decision-making and innovative strength.
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).