Using decision support systems in managing complex engineering projects
https://doi.org/10.26425/2658-3445-2026-9-1-4-19
Abstract
The issues of managing complex engineering projects for product development in conditions of high technical risks and uncertainty have been studied. The disadvantages of traditional management accounting systems have been considered, and ways to overcome them through implementing formalized decision-making algorithms have been proposed. The methodological contradictions between static accounting systems and the dynamic nature of innovative projects have been analyzed. An adaptive approach has been substantiated, which provides for a flexible combination of calculation methods and accounting of project life cycles, the central element of which is a system of quantitative threshold criteria formalizing key management procedures.
The algorithm of transition between the development stages, changes in calculation methods, cost capitalization, and reserves replenishment has been given. The developed system of algorithms for managing research and development works serves as the foundation for managing complex engineering projects in terms of forming models of the interrelationships of technical and economic parameters and developing classifiers of typical management situations with identifying features. The efficiency assessment demonstrates a reduction in calculation errors and operational risks.
The integration of the proposed system of formalized algorithms into digital end-to-end controlling platforms and E-Management class systems for automating managerial decision-making makes it possible to move from solving specific management automation problems to creating a holistic management theory for complex engineering projects in the context of digital transformation. The study results prove an increase in the accuracy of financial planning and a reduction in operational risks when using the proposed algorithms.
About the Authors
E. P. Garina
Minin Nizhny Novgorod State Pedagogical University
Russian Federation
Russian Federation
Ekaterina P. Garina, Dr. Sci. (Econ.), Prof. at the Enterprise Economics Department
Nizhny Novgorod
A. P. Garin
Minin Nizhny Novgorod State Pedagogical University
Russian Federation
Russian Federation
Aleksandr P. Garin, Cand. Sci. (Econ.), Assoc. Prof. at the Service Technologies and Technological Education Department
Nizhny Novgorod
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For citations:
Garina E.P., Garin A.P. Using decision support systems in managing complex engineering projects. E-Management. 2026;9(1):4-19. (In Russ.) https://doi.org/10.26425/2658-3445-2026-9-1-4-19
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