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Abstract

Risk preferences can be introduced into machinery selection by estimating the mean and standard deviation for total costs, including timeliness costs, associated with various machinery sets. Risk-returns criteria tested included E, V and E, S frontiers, cost-variance, upper confidence limits and maximum affordable cost.

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