Partition experimental designs for sequential processes: Part II - Second-order models

Leonard A. Perry, Douglas Montgomery, John Fowler

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Second-order experimental designs are employed when an experimenter wishes to fit a second-order model to account for response curvature over the region of interest. Partition designs are utilized when the output quality or performance characteristics of a product depend not only on the effect of the factors in the current process, but the effects of factors from preceding processes. Standard experimental design methods are often difficult to apply to several sequential processes. We present an approach to building second-order response models for sequential processes with several design factors and multiple responses. The proposed design expands current experimental designs to incorporate two processes into one partitioned design. Potential advantages include a reduction in the time required to execute the experiment, a decrease in the number of experimental runs, and improved understanding of the process variables and their influence on the responses.

Original languageEnglish (US)
Pages (from-to)373-382
Number of pages10
JournalQuality and Reliability Engineering International
Issue number5
StatePublished - Sep 2002


  • Partition designs
  • Second-order designs
  • Sequential processes

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research


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