A search method for the exploration of new regions in robust parameter design

Guillermo Miró-Quesada, Enrique Del Castillo

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

An approach for the exploration of new operating regions of a process in which noise factors are present is proposed and studied. The search method considers the curvature in the variance function, following a dual-response approach to process optimization in which a second order model for the process variance is utilized. The method assumes a "Target is best" objective for the process mean response, and proposes to conduct a second order search that minimizes the variance function while keeping feasibility for the mean target constraint. The method is illustrated in detail using simulated experiments.

Original languageEnglish (US)
Title of host publicationResponse Surface Methodology and Related Topics
PublisherWorld Scientific Publishing Co.
Pages89-118
Number of pages30
ISBN (Electronic)9789812774736
ISBN (Print)9812564586, 9789812564580
DOIs
StatePublished - Jan 1 2006

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Mathematics(all)

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    Miró-Quesada, G., & Del Castillo, E. (2006). A search method for the exploration of new regions in robust parameter design. In Response Surface Methodology and Related Topics (pp. 89-118). World Scientific Publishing Co.. https://doi.org/10.1142/9789812774736_0005