Experiments for Multi-Stage Processes

John Tyssedal, Murat Kulahci

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Multi-stage processes are very common in both process and manufacturing industries. In this article we present a methodology for designing experiments for multi-stage processes. Typically in these situations the design is expected to involve many factors from different stages. To minimize the required number of experimental runs, we suggest using mirror image pairs of experiments at each stage following the first. As the design criterion, we consider their projectivity and mainly focus on projectivity 3 designs. We provide the methodology for generating these designs for processes with any number of stages and also show how to identify and estimate the effects. Both regular and non-regular designs are considered as base designs in generating the overall design.
Original languageEnglish
JournalQuality Technology and Quantitative Management
Volume12
Issue number1
Pages (from-to)13-28
ISSN1684-3703
Publication statusPublished - 2015

Keywords

  • SPLIT-PLOT DESIGNS
  • MIRROR-IMAGE PAIRS
  • FACTORIAL-DESIGNS
  • SUB-PLOTS
  • Alias structure
  • nonregular designs
  • projective properties
  • regular designs
  • restriction on randomization
  • two-level designs

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