Quality Engineering vol. 23 issue 2 - April 2011
Abstract: [This abstract is based on the author's abstract.] Statistical engineering has been described as building something using statistical science methods. It differs from applied statistics in that it produces a whole system or protocol that is greater than the sum of its parts, meets a high level organizational need and has a sustainable life. A widely cited example of statistical engineering is Lean Six Sigma, but it is not the only example. The North American engine oil industry operates on a series of practices and protocols generated by coordinated efforts on the part of allied and rival corporations. These practices and protocols were generated using statistical methods and tools, and they are used to manufacture, test, and approve engine oil, making them excellent examples of statistical engineering.
Keywords: Lean manufacturing; Oil industry; Six Sigma; Statistical engineering; Case study
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