Course Overview

This course provides participants with a solid understanding of Statistical Process Control (SPC), a critical tool for monitoring and controlling processes to ensure consistent product quality.

Participants will learn how to apply statistical methods to analyze process data, detect variations, and implement corrective actions, ultimately improving product consistency and reducing defects.

Duration

🕒 5 Days (Total: 40 Hours)

Course Objectives

By the end of this course, participants will be able to:
✅ Understand the principles and benefits of Statistical Process Control.
✅ Use SPC tools to analyze process data and identify variations.
✅ Interpret control charts and apply them to monitor process performance.
✅ Implement corrective actions to reduce process variations and defects.
✅ Apply SPC in different industries to improve quality control.

Who Should Attend?

✔ Quality control and assurance professionals.
✔ Production and operations team members involved in process monitoring.
✔ Managers and supervisors responsible for process improvement and quality.
✔ Anyone interested in learning statistical techniques for process control.

Course Contents

📌 Introduction to Statistical Process Control – What it is and how it drives quality.
📌 Types of Variations – Common cause vs. special cause variations.
📌 Key SPC Tools – Control charts, histograms, and process capability analysis.
📌 How to Create and Interpret Control Charts – X-bar charts, R-charts, and p-charts.
📌 Process Capability and Capability Indices (Cp, Cpk).
📌 Implementing SPC – Steps to establish and sustain SPC practices in your organization.
📌 Real-World Applications – Case studies and practical examples.
📌 Interactive Activities & Knowledge Checks.

Certification

🎓 Participants will receive an internationally recognized SPC Training Certificate from RIMAN Training Center.