Authors
Shmanev S.
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Degree
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Dr of Economics, Professor, Financial University under the Government of the Russian Federation |
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E-mail
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shmanev_s_v@mail.ru |
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Articles
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Algorithmic and information support of innovative project management in conditions of uncertainty
The article presents the features of innovative projects of industrial enterprises that complicate
the process of their management. The main groups of mathematical methods used to manage innovative
projects are identified. The possible directions of further developing mathematical methods in the
field of managing the complex innovative projects at industrial enterprises are determined. Algorithms
of accounting the influence of uncertainty factors on the duration and costs that associate with implementing
the innovation project works are presented. A distinctive feature of these algorithms is the
usage of fuzzy production rules. These rules formulate recommendations for managing these projects
based on the distribution of resources available in the organization depending on the results of each
stage. It allows minimizing the execution time, both individual stages, and the entire innovation project
as a whole. The variant of information support formation is offered that is presented in the form
of a physical model of the database. This model allows storing all the information available in the industrial
organization that necessary to manage these projects. A distinctive feature of this database
is the ability to store information on the impact of uncertainties on the implementation effectiveness
in a formalized form. This information is necessary for the implementing the developed algorithms.
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