Statistical Quality Control

Statistical Quality Control (SQC) is a fundamental approach to ensuring consistent product and process quality. This comprehensive five-day training provides participants with an in-depth understanding of SQC methodologies, from foundational concepts to advanced techniques. Covering Statistical Process Control (SPC), process capability analysis, and design of experiments, this workshop equips managers, engineers, and quality professionals with tools to monitor, analyze, and improve process performance. Through practical case studies and hands-on exercises, participants will develop the skills needed to implement robust quality control systems in their organizations.

Workshop Overview

Learning Outcomes

• Understand the principles and importance of Statistical Quality Control.

• Apply Statistical Process Control (SPC) techniques for process monitoring.

• Conduct Phase I analysis for initial process stability assessment.

• Implement SPC for attributes and interpret control charts effectively.

• Perform process capability and process performance analysis.

• Utilize Design of Experiments (DOE) to optimize and improve processes.

Detailed Course Schedule

• Day 1:

  • Essentials of statistics, and SQC and SPC Fundamentals

• Day 2:

  • Phase I and SPC for Attributes

• Day 3:

  • Process Capability Analysis

• Day 4:

  • Process Performance Analysis and Case Studies

• Day 5:

  • Design of Experiments (DOE) and Practical Implementation

• Introduction to Statistical Quality Control (SQC).

• Statistical Process Control (SPC) fundamentals and techniques.

• Phase I: Process Stability and Control Chart Implementation.

• SPC for Attributes: Methods and Applications.

• Process Capability Analysis: Cp, Cpk, Pp, and Ppk.

• Process Performance Analysis for continuous improvement.

• Design of Experiments (DOE): Principles and practical applications.

What will it be about?