Statistical problem‐solving teams: A case study in a global manufacturing organization in the automotive industry

Abstract Organizations are confronted with quality failures that must be addressed. Often, statistical methods can be helpful, but the organization lacks an internal statistician. This paper explores the use of a statistical problem‐solving team using Six Sigma professionals as problem‐solving team leaders, trainers, and coaches. A case study methodology is used. The actions and events from the implementation of a statistical problem‐solving team in a global manufacturing organization in the automotive industry through the first decade after implementation are described. Statistical problem‐solving bridges the gap between engineer and statistician using engineers trained to awareness‐level knowledge of statistics and supported by Six Sigma Master Black Belts. The statistical problem‐solving team members need to be highly trained in the three pillars of statistical problem‐solving: Key statistical concepts, key statistical analysis, and the key test method as well as a solid foundation in quality tools. This paper provides a unique view of a global problem‐solving team using both Six Sigma tools and methods and the 8D process as a problem‐solving methodology.