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QICID: 24015
Title: Designing and Running Super-Efficient Experiments: Optimum Blocking With One Hard-to-Change Factor
Copyright: ASQ
Author: Anbari, Frank T.; Lucas, James M.
Organization:
Subject: Design of experiments (DOE), Block diagram, Cost management, Prediction, G-optimality, Split-plot design;
Series: Journal of Quality Technology, Vol. 40, No. 1, January 2008, pp. 31-45
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Abstract: [This abstract is based on the authors' abstract.]
Different methods of conducting super-efficient experiments for process improvement when there is one hard-to-change factor are discussed. It is shown how designs can be blocked to get small prediction variance and low cost. A blocked split-plot design is less expensive to run and more precise than a completely randomized design.
Number of pages: 15
Price for ASQ Members: $5.00
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