Abstract
In this chapter, six sigma is defined as a method for problem solving. It is perhaps true that the main benefits of six sigma are: (1) the method slows people down when they solve problems, preventing them from prematurely jumping to poor recommendations that lose money; and (2) six sigma forces people to evaluate quantitatively and carefully their proposed recommendations. These evaluations can aid by encouraging adoption of project results and in the assignment of credit to participants. The main goal of this book is to encourage readers to increase their use of six sigma and its associated “sub-methods.” Many of these sub-methods fall under the headings “statistical quality control” (SQC) and “design of experiments” (DOE), which, in turn, are associated with systems engineering and statistics.
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(2010). Introduction. In: Introduction to Engineering Statistics and Lean Sigma. Springer, London. https://doi.org/10.1007/978-1-84996-000-7_1
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DOI: https://doi.org/10.1007/978-1-84996-000-7_1
Publisher Name: Springer, London
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