Overview

Statistical Process Control (SPC) is a structured methodology used to monitor and manage quality during production or service delivery. This training program empowers participants to use data-driven tools for identifying process variability and maintaining consistent output standards.

Key learning areas include:

• Differentiating between random (common cause) and special cause variation.

• Developing and interpreting control charts for variables and attributes.

• Using process capability indices to evaluate system performance.

• Applying real-time quality monitoring for early detection of potential issues.

• Implementing proactive decision-making techniques to minimize downtime and defects.

Participants will also explore how SPC integrates with Lean and Six Sigma for enhanced continuous improvement strategies. The course includes hands-on activities and real-world case studies to reinforce application of SPC methods in operational settings.

By the end of the course, learners will be equipped to:

• Predict process behavior,

• Reduce variability,

• Drive consistent quality outcomes,

• And support sustainable process improvement across sectors such as manufacturing, logistics, healthcare, and more.