Mastering Advanced Quality Control #253004

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Mastering Advanced Quality Control is a 5-day intensive course designed to equip participants with the knowledge and skills to implement and optimize advanced quality control techniques. This course will delve into statistical process control, quality management systems, and continuous improvement methodologies.

Upon completion of this course, participants will be able to:
• Understand statistical process control (SPC): Apply SPC techniques to monitor and control processes.
• Implement quality management systems: such as ISO 9001, to ensure consistent quality.
• Utilize advanced quality tools: like Six Sigma, Lean Six Sigma, and Design of Experiments (DOE).
• Analyze and interpret data: to identify trends, patterns, and root causes of quality issues.
• Develop and implement effective quality improvement plans: to enhance product and service quality.
• Communicate quality performance: to stakeholders effectively.

This course is suitable for:
• Quality engineers
• Quality managers
• Operations managers
• Production engineers
• Anyone interested in improving quality and efficiency in their organization

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

• Introduction to SPC:
o Basic statistical concepts
o Control charts (X-bar, R, p, c)
o Process capability analysis
• SPC Applications:
o Monitoring and controlling processes
o Identifying process variations
o Reducing defects and improving quality

• ISO 9001:
o Overview of ISO 9001 standards
o Implementing a QMS
o Document control and record keeping
• Internal Audits:
o Conducting internal audits
o Corrective and preventive actions
• Continuous Improvement:
o Kaizen and Lean principles

• Six Sigma:
o DMAIC methodology
o Define, Measure, Analyze, Improve, Control phases
o Statistical tools for Six Sigma (hypothesis testing, ANOVA)
• Design of Experiments (DOE):
o Factorial designs
o Response surface methodology
o Taguchi methods

• Data Analysis Techniques:
o Data mining and data visualization
o Statistical software (Minitab, JMP)
• Root Cause Analysis:
o 5 Whys analysis
o Fishbone diagrams
• Problem-Solving Techniques:
o 8D problem-solving
o Lean problem-solving

• Total Quality Management (TQM):
o TQM principles and practices
o Customer focus and supplier relationships
• Quality by Design (QbD):
o Design of Experiments (DOE) for product and process development
o Risk assessment and management
• Quality Metrics and KPIs:
o Key performance indicators (KPIs)
o Benchmarking and best practices

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