Introduction

In today’s highly competitive manufacturing and service industries, quality excellence and process optimization are no longer optional they are critical for business sustainability. Statistical Process Control (SPC) empowers organizations to monitor, control, and improve processes through data-driven decision-making, reducing variability and enhancing product consistency. Statistical Process Control (SPC) Training Course equips professionals with the essential tools and techniques to identify process deviations, implement corrective actions, and foster a culture of continuous improvement using proven SPC methodologies.

Through a combination of practical exercises, real-world case studies, and interactive workshops, participants will gain expertise in control charts, process capability analysis, and root cause identification. The course emphasizes hands-on learning, enabling attendees to immediately apply SPC concepts to their operational environment. By mastering these techniques, professionals can contribute to operational efficiency, defect reduction, and customer satisfaction, aligning their organization with global quality standards and industry best practices.

Programme Curriculum

Statistical Process Control (SPC) Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand the fundamentals of Statistical Process Control (SPC) and its role in quality management.
Learn to implement control charts for monitoring process stability and variation.
Analyze process capability using Cp, Cpk, Pp, Ppk indices.
Identify and address common cause and special cause variations effectively.
Utilize real-time data analytics for continuous process improvement.
Apply root cause analysis techniques to reduce defects and enhance quality.
Implement Six Sigma principles with SPC for process optimization.
Improve productivity and operational efficiency through data-driven decisions.
Understand measurement system analysis (MSA) and data integrity standards.
Conduct risk assessment and process audits for quality assurance.
Develop visual management tools for process monitoring and reporting.
Integrate SPC with Lean manufacturing to minimize waste and improve cycle time.
Drive business excellence through statistical methods, predictive analytics, and quality leadership.

Target Audience

Quality Engineers
Process Engineers
Production Managers
Manufacturing Supervisors
Lean Six Sigma Practitioners
Operations Managers
Supply Chain Professionals
Continuous Improvement Specialists

Course Modules

Module 1: Introduction to SPC

Importance of SPC in modern industries
Key concepts-variation, control, and quality
Overview of data collection techniques
Difference between common cause and special cause variation
Case Study: Implementing SPC in a manufacturing line

Module 2: Control Charts

Introduction to X-bar, R, and S charts
Attribute charts: p, np, c, and u
Interpreting control limits and trends
Hands-on chart plotting exercises
Case Study: Reducing defects in assembly operations

Module 3: Process Capability Analysis

Understanding Cp, Cpk, Pp, and Ppk
Benchmarking process performance
Identifying process improvement opportunities
Tools for capability reporting
Case Study: Improving production yield in electronics

Module 4: Data Collection & Measurement System Analysis

Data types and sampling methods
Ensuring accuracy and precision
Gauge R&R studies
Reducing measurement errors
Case Study: Enhancing quality in automotive inspection

Module 5: Root Cause Analysis (RCA)

Techniques-5 Whys, Fishbone, FMEA
Linking RCA to process improvements
Corrective and preventive actions
Real-time problem-solving exercises
Case Study: Identifying bottlenecks in food production

Module 6: SPC in Lean & Six Sigma

Integrating SPC with Lean principles
Supporting DMAIC projects
Waste reduction through variation control
Tools for continuous improvement culture
Case Study: Lean-Six Sigma project in packaging

Module 7: Advanced SPC Tools

Multivariate SPC techniques
Process trend analysis
Predictive analytics for quality forecasting
Statistical software applications
Case Study: Forecasting defects in semiconductor manufacturing

Module 8: Implementation & Sustainability

Developing an SPC deployment roadmap
Training and employee engagement strategies
Continuous monitoring with dashboards and KPIs
Sustaining long-term process improvements
Case Study: SPC rollout across multiple production plants

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

Process monitoring Control charts Variability reduction Quality improvement

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000