Council of Supply Chain Management Professionals (CSCMP) Practice Exam 2026 – The Complete All-in-One Guide to Exam Success!

The primary focus of Six Sigma in supply chain processes is to reduce variability using statistics and probabilities. This methodology emphasizes the importance of using data-driven approaches to identify defects and inefficiencies in processes. By statistically analyzing data, Six Sigma practitioners can pinpoint sources of variability that lead to inconsistencies in production and service delivery. The aim is to systematically minimize this variability to ensure that processes operate closer to a state of perfection, which is defined as producing products or services that are 99.99966% defect-free.

While improving speed, eliminating waste, and enhancing customer satisfaction are all important aspects of supply chain management, they are not the central tenet of the Six Sigma approach. Instead, these can be seen as outcomes of successfully implementing Six Sigma strategies, which prioritize the reduction of variation to improve the overall quality and efficiency of supply chain processes.