Austrian Journal of Statistics (Jan 2022)

A Joint Multiresponse Split-Plot Modeling and Optimization Including Fixed and Random Effects

  • Rossella Berni,
  • Nedka Dechkova Nikiforova

DOI
https://doi.org/10.17713/ajs.v51i1.1211
Journal volume & issue
Vol. 51, no. 1

Abstract

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This paper deals with a proposal for joint modeling and process optimization for split-plot designs analyzed through mixed response surface models. It addresses the following main issues: i) the building of a joint mixed response surface model for a multiple response situation, by defining only one response through which specific coefficients are included for studying the association among the responses; ii) the considering of fixed as well as random effects within a joint modeling and optimization context; iii) the achievement of an optimal solution by involving specific as well as common coefficients for the responses. We illustrate our contribution through a case-study related to a split-plot design on electronic components of printed circuit boards (PCBs); we obtain satisfactory results by confirming the validity of this contribution, where the qualitative factor PCB is also studied and optimized.