Introduction

Statistical Process Control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. This professional course is designed to equip participants with the skills and knowledge required to effectively implement SPC techniques in their respective operations, leading to improved quality and efficiency.

Objectives

• Understand the fundamental concepts of SPC and its importance in quality management.
• Learn how to construct and interpret control charts.
• Identify and analyze process variations and their causes.
• Implement SPC tools to monitor and improve processes.
• Develop the ability to use statistical software for SPC application.

Course Outlines

Day 1: Introduction to Statistical Process Control

• Overview of Quality Management and the role of SPC
• History and evolution of SPC methods
• Basic statistical concepts essential for SPC
• The DMAIC process in SPC
• Case studies of successful SPC implementation

Day 2: Control Charts and Process Variability

• Types of control charts and their applications
• Constructing control charts for variables and attributes
• Analysis of control charts for process variations
• Special causes vs. common causes of variations
• Hands-on practice with control charting tools

Day 3: Advanced SPC Techniques

• Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) charts
• Multivariate SPC methods
• Process capability analysis and metrics
• Introduction to design of experiments in SPC
• SPC in non-manufacturing processes

Day 4: Implementing SPC in Real-world Scenarios

• Identifying processes eligible for SPC applications
• Developing an effective SPC implementation plan
• Overcoming challenges in SPC implementation
• Integration of SPC with other quality management systems
• Team dynamics and roles in SPC deployment

Day 5: Software Applications and Future Trends in SPC

• Introduction to statistical software for SPC
• Data collection and analysis using SPC software
• Exploring automation in SPC data monitoring
• Future trends in SPC and quality management
• Course review and assessment