Digital technology of centralized procurement organization

Abstract

The article is devoted to the development of models framework for digital transformation of processes in corporate and public procurement systems. In particular, the solution of the problem of multicriteria choice in economic systems described by the three-part graph "producer — resource — consumer" is considered. A mathematical model for the optimal distribution of a homogeneous resource from suppliers to consumers in a centralized procurement system is proposed. This model is reduced to a transport problem with intermediate points. Optimization is aimed at achieving maximum compliance in terms of the totality of technical and commercial characteristics of a homogeneous resource. To set the requirements for these characteristics on the part of the consumer, it is proposed to use fuzzy variables. This provides the consumer with a flexible mechanism for describing resource requirements based on his preferences. An operator of aggregation of local correspondences concerning a set of characteristics is proposed in the form of a discrete Choquet integral with a fuzzy measure. Using the example of production equipment, it is shown how it is possible to formalize the parameters of the model, and then to optimize and automate the process of distributing equipment by solving a transport problem with intermediate points in such a way, that the maximum correspondence in its characteristics is achieved. The developed models and algorithms can be used to create information services on electronic trading platforms, including the of public procurement.