Variability Reduction

We apply Six Sigma methodology to reducing operational variability to increase throughput, reduce operating costs, and improve product quality

We apply the data-driven, systematic Six Sigma DMAIC approach to identify and mitigate the root causes of variability and increase process capability.

We have forged a performance method that is structured yet flexible to generate step change improvements in operational performance:

  1. Define Critical Processes and Control Points
    Create a Key Process & Control Points relationship matrix and ensure Key Control Points are aligned with Control Plans and Process Failure Mode and Effects Analysis (PFMEA)

  2. Perform Process Capability Studies
    Use relevant tools to identify & validate root causes of process instabilities, variations, accuracy and dispersion issues

  3. Create Variation Reduction Plan
    Prioritise the processes and develop a plan to address the root causes of variations

  4. Business Process Management System
    Implement a visual management solution to monitor and control the ongoing process performance and build mistake-proofing to prevent potential variations

How can we help you?

To discuss how our team can help your business achieve true results, please contact us.