The Process Control and Quality Assurance in Production in Vienna is a professional training course designed to help participants optimize production processes, ensure product quality, and maintain compliance.
From:
12-01-2026
From:
20-04-2026
From:
29-06-2026
From:
17-08-2026
Course Overview
In modern manufacturing, quality and efficiency are critical for competitiveness. Process control ensures that production systems run smoothly, while quality assurance guarantees that products meet customer expectations and regulatory standards. This Process Control and Quality Assurance in Production Training Course provides participants with practical frameworks to optimize processes, reduce defects, and maintain high standards of quality.
The course covers statistical process control, quality management systems, continuous improvement methods, and advanced quality tools. Participants will analyze real-world case studies and practice using monitoring and assurance techniques to drive production excellence.
By the end of the program, attendees will be able to design, implement, and sustain process control and QA systems that enhance performance, reduce waste, and increase customer satisfaction.
Course Benefits
Strengthen knowledge of process control frameworks.
Apply QA techniques to ensure product consistency.
Reduce waste and minimize production defects.
Integrate continuous improvement methodologies.
Align quality systems with international standards.
Course Objectives
Explain the principles of process control and QA.
Apply statistical process control (SPC) tools.
Implement quality assurance systems in production.
Use continuous improvement tools for defect reduction.
Monitor production performance with KPIs.
Align QA with ISO and global standards.
Benchmark best practices in quality-driven production.
Training Methodology
The course uses lectures, case studies, group workshops, and simulation exercises. Participants will apply process control and QA tools to real-world production challenges.
Target Audience
Production and quality managers.
Process engineers and supervisors.
Continuous improvement professionals.
Executives responsible for quality management.
Target Competencies
Process control and optimization.
Quality assurance systems.
Continuous improvement and defect reduction.
Compliance with quality standards.
Course Outline
Unit 1: Introduction to Process Control and QA
Importance of process control in production.
Principles of quality assurance.
Linking quality to customer satisfaction.
Case examples of quality-driven organizations.
Unit 2: Statistical Process Control (SPC)
Fundamentals of SPC.
Control charts and process variation.
Interpreting SPC data.
Case studies in defect reduction.
Unit 3: Quality Management Systems (QMS)
Overview of ISO 9001 and related standards.
Building effective QMS frameworks.
Documentation and compliance requirements.
Auditing and certification processes.
Unit 4: Continuous Improvement in Production
Lean and Six Sigma applications.
Root cause analysis and problem-solving tools.
Kaizen and incremental improvement methods.
Linking CI to production performance.
Unit 5: Advanced Tools for Quality Assurance
Failure Mode and Effects Analysis (FMEA).
Design of Experiments (DOE).
Process capability analysis.
Digital tools for QA monitoring.
Unit 6: Monitoring and Performance Measurement
Key production and quality KPIs.
Dashboards and reporting systems.
Real-time monitoring and IoT tools.
Linking QA to productivity and cost savings.
Unit 7: Future Trends in Process Control and QA
Smart quality management in Industry 4.0.
AI and analytics in quality monitoring.
Sustainability in process and quality systems.
Roadmap for next-generation QA strategies.
Ready to elevate your production quality and efficiency?
Join the Process Control and Quality Assurance in Production Training Course with EuroQuest International Training and gain the expertise to achieve excellence in production systems.
The Process Control and Quality Assurance in Production Training Courses in Vienna provide professionals with the knowledge and practical skills necessary to optimize manufacturing operations, ensure product quality, and maintain regulatory compliance. Designed for production managers, quality engineers, process specialists, and operations leaders, these programs focus on integrating robust process control techniques with systematic quality assurance practices to enhance efficiency, consistency, and operational excellence.
Participants explore the core principles of process control, including statistical process control, process optimization, and continuous improvement methodologies. The courses also emphasize quality assurance frameworks, covering product inspection, compliance monitoring, and corrective and preventive action strategies. Through real-world case studies, interactive exercises, and simulations, attendees gain hands-on experience in designing control systems, analyzing process data, and implementing measures that ensure consistent quality and reduce variability across production lines.
These training programs in Vienna blend theoretical understanding with applied practice, highlighting modern tools, automation technologies, and data-driven techniques for monitoring and improving production processes. Participants learn to integrate process control and quality assurance strategies with operational workflows, align performance metrics with organizational objectives, and implement continuous improvement initiatives that enhance both product quality and operational efficiency.
Attending these courses in Vienna offers a dynamic learning environment enriched by the city’s industrial and technological expertise. Engaging with international instructors and peers from diverse manufacturing sectors provides exposure to global best practices and innovative approaches to production management. By completing this specialization, participants will be equipped to design and implement effective process control systems, strengthen quality assurance procedures, minimize defects and downtime, and drive sustainable improvements—enhancing both operational performance and competitive advantage in today’s manufacturing landscape.