Purpose. To develop theoretical and practical recommendations for a scientifically based selection of Enterprise Resource Planning (ERP) systems and their composition with the use of economic and mathematical modeling for businesses in Ukraine. Methodology. The theoretical and methodological basis of the study is fundamental principles of modern economic theory, the scientific work of scientists. During the research, the following methods were used: mathematical modeling (to solve the problem of multicriterial optimization consisting in finding optimal variants of the introduction of automated information systems for the management of industrial enterprises); graphic (for visual presentation of research results); analytical and structural (by optimizing the choice of ERP by analytical hierarchical approach). Findings. A complex approach with the use of modeling is proposed to find such an ERP that meets and harmonizes the requirements of the company under conditions of uncertainty. A system of methodological guidelines adapted and suitable for use in practice is developed. Originality. A optimal multi-criteria selection method of the ERP system under conditions of uncertainty is developed, which allows the company to select ERP systems according to their own optimality criteria. Practical value. The results of the study will allow companies to reduce the costs of implementing ERP systems, the proposed method and algorithm can be implemented in applications for computers and mobile devices to automate the process of choosing an ERP system and its composition.

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