Abstract
This paper reports on the specification of a tomato processing plant cost-function using the Schruben-Cogliano (S-C) experimental procedure for response surface identification. The method is applied to a simulation model of a tomato processing plant in order to generate a cost-function metamodel that can be used to derive conditional factor-demand equations. The results suggest that the S-C methodology provides a means of deriving conditional factor-demand equations which reduces cost-function specification error.
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Starbird, S. A Metamodel Specification for a Tomato Processing Plant. J Oper Res Soc 41, 229–240 (1990). https://doi.org/10.1057/jors.1990.39
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DOI: https://doi.org/10.1057/jors.1990.39