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

Qidong Cao, Thomas E. Griffin and Xiaoming Li

International Journal of Operational Research, 2019, vol. 34, issue 1, 54-65

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.

Keywords: extremal experiment; sequential experiments; steepest ascent method; parameter optimisation; factorial design. (search for similar items in EconPapers)
Date: 2019
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