An intensive professional development training course on
Quality Engineering and Process Improvement
Data-Driven Quality Systems, Process Control & Continuous Improvement for Operational Excellence
Why Choose Quality Engineering and Process Improvement Training Course?
Quality engineering and process improvement are essential disciplines for organizations seeking to enhance performance, reduce variability, eliminate waste, and consistently deliver products and services that meet customer and regulatory requirements. In increasingly competitive and regulated markets, quality can no longer be treated as a control function alone; it must be embedded within processes, supported by data, and driven by continuous improvement.
This training course provides a comprehensive and practical understanding of how quality engineering principles and process improvement methodologies are applied to real operational environments. It integrates quality management systems, statistical methods, process control, risk-based thinking, and structured improvement approaches to help organizations achieve sustainable performance gains.
The course emphasizes the use of data and analytical tools to identify process inefficiencies, reduce defects, improve reliability, and support informed decision-making. Participants will learn how to analyze processes, apply statistical process control, conduct root cause analysis, manage quality risks, and implement improvement initiatives aligned with business objectives.
By the end of the course, participants will be equipped with the skills required to design, monitor, and improve processes systematically, contribute effectively to quality and operational excellence programs, and support continuous improvement across the organization.
What are the Goals?
By the end of this training course, participants will be able to:
- Understand quality engineering principles and process-based thinking
- Apply statistical tools to analyze and control process performance
- Identify sources of variation and process inefficiencies
- Implement effective process control and monitoring systems
- Conduct root cause analysis and corrective actions
- Apply risk-based approaches to quality and process management
- Support continuous improvement initiatives aligned with business goals
- Measure and sustain quality and process improvement results
Who is this Training Course for?
This training course is suitable to a wide range of professionals but will greatly benefit:
- Quality Engineers and Quality Officers
- Process and Industrial Engineers
- Continuous Improvement and Operational Excellence Professionals
- Production, Operations, and Maintenance Managers
- Six Sigma and Lean Practitioners
- Project Engineers and Supervisors
- Professionals involved in quality, process improvement, or performance management
How will this Training Course be Presented?
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
The Course Content
- Role of quality engineering in modern organizations
- Evolution of quality management and process improvement
- Quality concepts, definitions, and terminology
- Process-based approach to quality management
- Understanding customers and defining requirements
- Voice of the Customer (VOC) and Critical to Quality (CTQ) characteristics
- Process mapping and documentation techniques
- Introduction to quality standards and frameworks
- Establishing a culture of quality and improvement
- Data types and data collection methods
- Basic statistics for quality and process analysis
- Graphical analysis and data visualization
- Introduction to probability and variation
- Statistical Process Control (SPC) principles
- Control charts for variables and attributes
- Interpretation of control charts and signals
- Measurement System Analysis (MSA)
- Practical examples of SPC application
- Understanding process variation and stability
- Process capability analysis (Cp, Cpk, Pp, Ppk)
- Capability requirements and performance benchmarks
- Identifying process bottlenecks and inefficiencies
- Root cause analysis tools
- Failure Mode and Effects Analysis (FMEA)
- Corrective and Preventive Action (CAPA) systems
- Continuous improvement methodologies (Lean, Six Sigma concepts)
- Waste identification and elimination
- Process optimization techniques
- Risk-based thinking in quality and process management
- Quality risk assessment and mitigation
- Supplier quality and process integration
- Cost of Quality (COQ) and performance trade-offs
- Change management and sustaining improvements
- Quality performance measurement and KPIs
- Monitoring and reviewing process performance
- Auditing quality and process improvement systems
- Management review and decision-making support
- Integrating quality and improvement into business strategy
- Best practices for sustaining improvements
- Case studies and group improvement exercise
- Course review and improvement planning
Certificate and Accreditation
- AZTech Certificate of Completion for delegates who attend and complete the training course
Do you want to learn more about this course?
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