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Screening for Fuel Economy: A Case Study of Supersaturated Designs in Practice

Summary: [This abstract is based on the authors' abstract.] This article presents a case study at the Lubrizol Corporation. A 28-run supersaturated design was used to screen the effects of over 70 model terms on engine motor oil coefficient of friction. The study identified important factors and model terms using a Bayesian variable assessment (BVA), a model-averaging technique developed by Lubrizol. The study is more complicated than others in the literature at the time of writing. A ten-run follow-up experiment demonstrates the use of the supersaturated design and BVA was found to be successful in this case.

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  • Topics: Engineering
  • Keywords: Bayesian methods, Case study, Design of experiments (DOI), Monte Carlo methods, Markov chains, Screening
  • Author: Scinto, Philip R.; Wilkinson, Robert G.; Lin, Dennis K.J.;
  • Journal: Quality Engineering