Controlling processes in food technology by simplifying the canonical form of fitted response surfaces

Steven G. Gilmour*, Trevor J. Ringrose

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Second-order response surfaces are often fitted to the results of designed experiments, and the canonical form of such surfaces can greatly help both in interpreting the results and in deciding what action to take on the process under study. A mixing process on pastry dough is described in which it is desired to simplify the canonical form to make the control of the process more economical, by basing it on only two of the three factors. We give examples where a simplification is possible with minimal loss of accuracy and where it can be seriously misleading, and we outline the features of the response surface that lead to these two situations. A method of improving the simplification by recalculating the constrained canonical axis is proposed. These methods ensure that the mixing process can be controlled by using only two factors without seriously lowering the quality of the pastry.

Original languageEnglish
Pages (from-to)91-101
Number of pages11
JournalAPPLIED STATISTICS
Volume48
Issue number1
Publication statusPublished - 1999

Keywords

  • Canonical analysis
  • Food engineering
  • Principal component analysis
  • Process control

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