Exclusive Content & Downloads from ASQ

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.

Please sign-in or register to download this information. Registration is FREE and gives you access to ASQ's articles, case studies and general information.

Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

  • 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