Training course

Overview

Quality Control is a comprehensive professional training course designed for quality control officers, quality inspectors, quality engineers, production supervisors, laboratory personnel, manufacturing professionals, construction and engineering teams, operations managers, technical specialists, and professionals responsible for monitoring, verifying, and improving the quality of products, services, processes, materials, and technical work. The course develops the practical knowledge and skills required to establish effective quality control systems, perform inspections and testing, identify defects and nonconformities, analyse quality data, implement corrective actions, and maintain consistent product and process performance. Participants learn how to translate quality requirements into measurable controls and practical inspection activities throughout the operational lifecycle.

The course integrates established quality control principles with internationally recognised standards and frameworks, particularly ISO 9001 Quality Management Systems, ISO 19011 Guidelines for Auditing Management Systems, ISO 10005 Quality Plans, ISO 10012 Measurement Management Systems, and relevant principles of statistical process control, quality assurance, risk-based thinking, and continuous improvement. Practical tools include inspection and test plans, quality checklists, sampling plans, control charts, Pareto analysis, histograms, process maps, check sheets, defect registers, nonconformity reports, corrective action logs, calibration records, supplier quality assessments, quality dashboards, acceptance criteria, and statistical quality-control techniques.

Effective quality control requires systematic monitoring of materials, processes, equipment, workmanship, outputs, documentation, and measurement systems. Quality professionals must be able to detect deviations early, distinguish isolated defects from systemic problems, assess the significance of nonconformities, investigate root causes, and implement effective corrective measures. This course addresses practical quality challenges such as defective materials, process variation, equipment-related quality problems, inconsistent workmanship, inspection failures, inaccurate measurements, supplier defects, documentation gaps, customer complaints, rework, scrap, and recurring nonconformities. Real-world scenarios enable participants to practise making quality decisions using evidence, specifications, standards, inspection results, and quality performance data.

Through practical inspection exercises, quality-data analysis, control-chart activities, sampling exercises, root cause investigations, nonconformity simulations, corrective-action workshops, supplier-quality case studies, audit preparation activities, and an integrated quality-control capstone, participants develop immediately applicable quality-management capabilities. The programme progresses from quality-control fundamentals through inspection planning, measurement systems, statistical process control, sampling, process capability, nonconformity management, root cause analysis, supplier quality, risk-based controls, auditing, digital quality tools, and advanced continuous improvement. Participants gain practical methods for reducing defects, controlling process variation, improving compliance, strengthening product and process reliability, and building a culture of consistent quality performance.

Course Duration

5 Days (40 Hours)

Target Participants

This course is suitable for:
• Quality control officers, inspectors, and technicians
• Quality assurance and quality management professionals
• Quality engineers and manufacturing quality engineers
• Production and operations supervisors
• Manufacturing and industrial operations professionals
• Construction and civil engineering quality personnel
• Mechanical, electrical, instrumentation, and technical inspection professionals
• Laboratory and testing personnel
• Maintenance and reliability professionals involved in quality control
• Procurement and supplier quality professionals
• Project managers and project quality coordinators
• Health, safety, environment, and compliance professionals with quality responsibilities
• Process improvement and operational excellence professionals
• Technical managers and supervisors responsible for quality performance
• Professionals responsible for inspection, testing, measurement, verification, and nonconformity management
• Professionals preparing to assume responsibilities in quality control and quality management

Course Objectives

By the end of the training, participants will be able to:
• Explain the principles, purpose, scope, and organisational importance of quality control
• Distinguish quality control, quality assurance, quality management, inspection, testing, and continuous improvement
• Apply ISO 9001 principles and risk-based thinking to operational quality-control activities
• Develop practical quality-control plans, inspection and test plans, checklists, acceptance criteria, and control points
• Identify quality requirements from specifications, drawings, procedures, contracts, standards, regulations, and customer expectations
• Plan and conduct effective inspections, tests, sampling activities, verification, and acceptance processes
• Apply statistical process control techniques to monitor process variation and detect abnormal conditions
• Use control charts, histograms, Pareto analysis, check sheets, process maps, and other quality tools effectively
• Understand measurement-system principles, calibration, traceability, accuracy, precision, and measurement uncertainty
• Apply appropriate sampling concepts and acceptance-sampling techniques to quality-control decisions
• Analyse process capability and distinguish common-cause from special-cause variation
• Identify, document, classify, and control defects, deviations, and nonconformities
• Conduct structured root cause analysis using Five Whys, Fishbone Diagrams, Pareto Analysis, and related techniques
• Develop effective corrective and preventive actions and verify their effectiveness
• Control rework, scrap, concessions, deviations, and product or process disposition
• Evaluate supplier quality, incoming materials, subcontracted processes, and external service performance
• Apply risk-based quality control using process risk assessments, FMEA principles, control plans, and critical control points
• Support internal audits using ISO 19011 principles and prepare effective quality evidence and records
• Develop quality KPIs, dashboards, defect trends, cost-of-quality measures, and performance reports
• Apply digital quality tools, electronic inspection records, data analytics, and automated quality monitoring
• Implement continuous improvement initiatives using PDCA, Kaizen, Lean, and data-driven quality methods
• Develop an integrated quality-control strategy through a comprehensive case study and practical workplace implementation plan

Course Content

Day 1: Foundations of Quality Control, Standards, Inspection, and Quality Planning

Module 1: Foundations of Quality Control, Standards, Inspection, and Quality Planning

1.      Fundamentals of Quality Control and Its Role in Organisational Performance

2.      Quality Control, Quality Assurance, Quality Management, Inspection, Testing, and Verification

3.      Quality Requirements, Specifications, Standards, Drawings, Procedures, and Customer Expectations

4.      ISO 9001 Quality Management Principles and Risk-Based Thinking

5.      Quality Planning, Quality Objectives, Quality Control Plans, and Inspection and Test Plans

6.      Quality Control Points, Hold Points, Witness Points, Acceptance Criteria, and Verification Requirements

7.      Inspection Methods, Testing Procedures, Sampling, Documentation, and Evidence Collection

8.      Quality Checklists, Check Sheets, Inspection Records, Defect Registers, and Quality Documentation

9.      Roles, Responsibilities, Competence, Independence, and Accountability in Quality Control

10.  Case Study: Developing a Quality Control System for a New Production or Construction Process

Day 2: Measurement, Statistical Process Control, Sampling, and Process Capability

Module 2: Measurement, Statistical Process Control, Sampling, and Process Capability

1.      Measurement Systems, Calibration, Traceability, Accuracy, Precision, and Measurement Reliability

2.      ISO 10012 Principles and Effective Measurement Management

3.      Measurement Uncertainty, Gauge Selection, Verification, and Measurement-System Controls

4.      Fundamentals of Statistical Process Control and Process Variation

5.      Control Charts, Control Limits, Specification Limits, and Interpretation of Process Signals

6.      Common-Cause and Special-Cause Variation and Statistical Process Monitoring

7.      Sampling Methods, Sampling Risk, Acceptance Sampling, and Inspection Levels

8.      Process Capability Concepts, Cp, Cpk, Pp, Ppk, and Capability Interpretation

9.      Quality Data Collection, Histograms, Scatter Diagrams, Trend Analysis, and Data Visualisation

10.  Practical Exercise: Analysing Quality Data and Developing a Statistical Process Control Plan

Day 3: Defect Prevention, Nonconformity, Root Cause Analysis, and Corrective Action

Module 3: Defect Prevention, Nonconformity, Root Cause Analysis, and Corrective Action

1.      Defects, Deviations, Nonconformities, Failures, and Quality Losses

2.      Nonconformity Identification, Classification, Reporting, Containment, and Disposition

3.      Nonconformity Reports, Corrective Action Requests, Deviation Records, and Quality Escalation

4.      Root Cause Analysis Using Five Whys, Fishbone Diagrams, Pareto Analysis, and Fault Investigation

5.      Failure Mode and Effects Analysis (FMEA) for Quality Risk Identification and Defect Prevention

6.      Corrective Action, Preventive Action, Action Ownership, Deadlines, and Effectiveness Verification

7.      Rework, Repair, Scrap, Concession, Waiver, and Product or Process Disposition

8.      Customer Complaints, Quality Incidents, Warranty Issues, and Feedback Analysis

9.      Cost of Quality, Cost of Poor Quality, Rework, Scrap, Waste, and Quality-Related Losses

10.  Case Study: Investigating a Recurring Defect and Developing an Effective Corrective Action Programme

Day 4: Supplier Quality, Auditing, Risk-Based Control, and Quality Performance

Module 4: Supplier Quality, Auditing, Risk-Based Control, and Quality Performance

1.      Supplier Quality Management and Quality Requirements for Purchased Materials and Services

2.      Incoming Inspection, Supplier Certificates, Material Verification, and Acceptance Controls

3.      Supplier Performance Monitoring, Supplier Audits, Corrective Actions, and Quality Improvement

4.      Risk-Based Quality Control and Process Risk Assessment

5.      Control Plans, Critical Quality Characteristics, Critical Control Points, and Process Controls

6.      Internal Quality Auditing and ISO 19011 Audit Principles

7.      Audit Planning, Evidence Collection, Findings, Nonconformities, and Follow-Up Actions

8.      Quality KPIs, Defect Rates, First-Pass Yield, Rework, Scrap, Customer Complaints, and Trends

9.      Quality Dashboards, Management Reporting, Quality Reviews, and Escalation Mechanisms

10.  Practical Simulation: Conducting a Quality Inspection, Identifying Nonconformities, and Preparing an Audit-Based Corrective Action Report

Day 5: Advanced Quality Control, Digital Quality Management, and Continuous Improvement

Module 5: Advanced Quality Control, Digital Quality Management, and Continuous Improvement

1.      Advanced Quality Control Strategies for Complex and High-Risk Processes

2.      Digital Quality Management Systems, Electronic Inspection Records, and Automated Data Capture

3.      Quality Analytics, Automated Monitoring, Predictive Quality, and Data-Driven Decision-Making

4.      Lean Quality Management, Waste Reduction, Standard Work, and Defect Prevention

5.      Continuous Improvement Using PDCA, Kaizen, Six Sigma Principles, and Structured Improvement Projects

6.      Advanced Process Capability, Quality Trends, Early-Warning Indicators, and Process Optimisation

7.      Quality Risk Management, FMEA, Control Strategy, and Preventive Quality Planning

8.      Building a Quality Culture Through Leadership, Employee Involvement, Competence, and Accountability

9.      Integrated Case Study: Developing an Enterprise Quality Control Improvement Strategy for a High-Defect Operation

10.  Final Quality Control Simulation, Quality Improvement Plan, Presentation, Feedback, and Workplace Implementation Strategy