Lot Plot
Lot Plot refers to a statistical method for acceptance sampling developed by Dorian Shainin in the 1940s. This statistical technique uses the graphical analysis of variable sample data in order to determine if a lot consisting of potentially faulty parts should be accepted or set aside for 100% inspection.
Walter A. Shewhart’s development of control charts demonstrated the application of statistical techniques to manufacturing and illustrated the effectiveness of graphical presentation and analysis. Shainin incorporated these concepts in his development of Lot Plot.
In 1946 Shainin was able to demonstrate to the Navy Bureau of Aeronautics that Lot Plot was more effective than 100% inspection. Following this, the Navy agreed to make Lot Plot a standard. Soon Lot Plot was adopted as a standard across many industries.
Taking the advice of his friend and mentor Joseph M. Juran, Shainin turned to the world of consulting. In 1952 Shainin joined Rath & Strong, Inc., a management consulting firm based in Lexington, Massachusetts, holding the position of Senior Vice President.
Read more about this topic: Dorian Shainin
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