Introduction

Risk-Based Quality Management (RBQM) in manufacturing is a modern, proactive approach that integrates quality assurance with structured risk assessment to ensure consistent product quality, regulatory compliance, and operational efficiency. In today’s highly competitive and regulated industrial environment, organizations must shift from reactive quality control to predictive, data-driven decision-making frameworks. This training course equips professionals with advanced skills in GMP compliance, ISO 9001:2015 risk-based thinking, quality risk assessment (QRA), CAPA systems, and continuous improvement methodologies to strengthen manufacturing excellence.

Risk-Based Quality Management in Manufacturing Training Course is designed to help participants master ICH Q9 Quality Risk Management, Six Sigma integration, Lean Manufacturing principles, digital quality systems, and real-time risk monitoring tools. By embedding risk-based thinking into every stage of production, organizations can minimize deviations, reduce defects, optimize cost of quality, and enhance customer satisfaction. The course blends theory, global standards, and real-world applications to prepare professionals for Industry 4.0 manufacturing environments.

Programme Curriculum

Risk-Based Quality Management in Manufacturing Training Course

Introduction

Course Duration

10 days

Course Objectives

Understand principles of Risk-Based Quality Management (RBQM) in manufacturing
Apply ICH Q9 Quality Risk Management framework effectively
Implement ISO 9001:2015 risk-based thinking requirements
Conduct Failure Mode and Effects Analysis (FMEA) for process control
Develop robust Corrective and Preventive Action (CAPA) systems
Improve compliance with GMP and regulatory quality standards
Use statistical process control (SPC) for defect prevention
Integrate Lean Six Sigma methodologies into quality systems
Build effective risk assessment and mitigation strategies
Enhance deviation management and root cause analysis (RCA) skills
Apply digital quality management systems (QMS) tools
Strengthen audit readiness and inspection preparedness
Drive continuous improvement and operational excellence culture

Target Audience

Quality Assurance Managers
Quality Control Analysts
Manufacturing & Production Supervisors
Process Engineers
Regulatory Affairs Specialists
Compliance Officers
Lean Six Sigma Practitioners
Pharmaceutical, FMCG, Automotive & Food Industry Professionals

Course Modules

Module 1: Introduction to Risk-Based Quality Management

Concept of RBQM in manufacturing
Evolution from traditional QC to risk-based systems
Key global standards (ICH Q9, ISO 9001)
Risk-based thinking principles
Importance in modern manufacturing
Case Study: Pharmaceutical company reducing batch failures using RBQM

Module 2: Regulatory Frameworks & Compliance

GMP guidelines overview
ISO 9001:2015 requirements
FDA & EMA expectations
Audit compliance strategies
Documentation standards
Case Study: Food industry compliance audit failure recovery

Module 3: Quality Risk Management (ICH Q9)

Risk identification techniques
Risk analysis methods
Risk evaluation matrix
Risk control strategies
Risk review lifecycle
Case Study: Medical device risk assessment improvement

Module 4: Failure Mode and Effects Analysis (FMEA)

FMEA methodology
Severity, occurrence, detection scoring
Risk Priority Number (RPN)
Process vs design FMEA
Implementation steps
Case Study: Automotive assembly line defect reduction

Module 5: CAPA Systems

Corrective vs preventive actions
Root cause analysis tools
CAPA lifecycle management
Documentation best practices
Effectiveness verification
Case Study: Cosmetic manufacturing contamination control

Module 6: Statistical Process Control (SPC)

Control charts and variability
Process capability analysis
Data interpretation techniques
Out-of-control process detection
Quality trend analysis
Case Study: Electronics manufacturing yield improvement

Module 7: Lean Manufacturing Integration

Lean principles in quality systems
Waste reduction strategies
Value stream mapping
Kaizen implementation
Continuous flow optimization
Case Study: FMCG production efficiency enhancement

Module 8: Six Sigma in Risk Management

DMAIC methodology
Defect reduction strategies
Sigma level improvement
Process capability enhancement
Data-driven decision-making
Case Study: Textile industry defect minimization

Module 9: Deviation Management

Types of deviations
Investigation workflows
Documentation systems
Escalation procedures
Preventive measures
Case Study: Pharmaceutical batch deviation handling

Module 10: Root Cause Analysis (RCA)

5 Whys technique
Fishbone diagram (Ishikawa)
Data collection methods
Problem-solving frameworks
Verification of causes
Case Study: Machinery breakdown in production plant

Module 11: Digital Quality Management Systems

eQMS platforms
Automation in quality control
Data integrity principles
Cloud-based QMS solutions
Real-time monitoring tools
Case Study: Smart factory digital transformation

Module 12: Audit & Inspection Readiness

Internal audit planning
External inspection preparation
Audit trail documentation
Non-conformance handling
Compliance reporting
Case Study: Regulatory inspection success in pharma plant

Module 13: Supplier Quality Management

Supplier qualification process
Risk-based supplier evaluation
Material quality assurance
Vendor audits
Supply chain risk control
Case Study: Automotive supplier defect elimination

Module 14: Continuous Improvement Systems

PDCA cycle implementation
Quality improvement culture
Performance metrics tracking
Employee involvement strategies
Innovation in quality systems
Case Study: Manufacturing plant productivity boost

Module 15: Advanced Risk Analytics & Industry 4.0

Predictive quality analytics
AI in quality management
IoT-enabled monitoring
Big data in manufacturing
Smart factory integration
Case Study: AI-driven defect prediction in production line

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Risk assessment Quality control Process monitoring Compliance management

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000