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A case of unconstrained multiple-factor optimisation with unknown function in the textile industry

Author

Listed:
  • Qidong Cao
  • Thomas E. Griffin
  • Xiaoming Li

Abstract

We applied an extremal experiment in a paper machine clothing factory to solve a quality problem caused by automatic bobbin-changers. The experimental study maximised the breaking strength of weld point and therefore led to a substantial gain in the gross profit. Questions answered in the extremal experiment of this study are useful to other practitioners who can apply the extremal experiment to their industries where an unconstrained multiple-factor optimisation model with unknown functions between the dependent variable and the factors is employed.

Suggested Citation

  • Qidong Cao & Thomas E. Griffin & Xiaoming Li, 2019. "A case of unconstrained multiple-factor optimisation with unknown function in the textile industry," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 34(1), pages 54-65.
  • Handle: RePEc:ids:ijores:v:34:y:2019:i:1:p:54-65
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