Abstract
The aim of the article is to develop a model of rational choice of technology and equipment supplier under conditions of external environment uncertainty. The technical and economic requirements of the customer are considered as operational, i.e. each requirement can be evaluated by expert judgement or measured using one or another means of measurement. This problem belongs to the multi-criteria ones with diverse indicators, for which traditional methods of linear convolution of criteria do not function correctly. We present a stochastic model of product supplier selection based on the concept of suitability and stochastic dominance, as well as the principle of guaranteed result in the conditions of incomplete data represented by finite limited samples of supplier characteristics. Both univariate and multivariate cases of supplier selection are addressed within the model. Ultimately, the formulated models are converted into linear Boolean programming models, which can be effectively solved using conventional linear optimization software packages.
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