Designing and Running Super-Efficient Experiments: Optimum Blocking With One Hard-to-Change Factor

• Autores: Frank T. Anbari, James M. Lucas
• Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Vol. 40, Nº. 1, 2008, págs. 31-45
• Idioma: inglés
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• Resumen

  • 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.