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Analysis of an Unreplicated Fractional-Factorial Design Using Nonparametric Tests

Summary: [This abstract is based on the author's abstract.] The construction sector has only recently begun focusing on nontraditional quality management methodologies in order to improve its level of offered services. Quality predesign has driven an increasing need for simulations in order to reduce costs and production validation time. This study focuses on attaining minimum sample-size information while maximizing the number of designing parameters that may be accommodated by efficient experimental design strategies. The methodology proposed is to unite the economy in experimentation effort offered by standard orthogonal arrays with popular robust nonparametric testing. A case study from a construction predesign parameter optimization project illustrates the methodology.

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  • Topics: Engineering
  • Keywords: Design of experiments (DOE), Nonparametric methods, Rank sum test, Robust design, Unreplicated fractional experiment, Quality improvement (QI), Orthogonal array (OA), Construction industry, Case study
  • Author: Besseris, George J.
  • Journal: Quality Engineering