Authors
Belozerskij A.
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Degree
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Dr of Economics, Professor, D. Mendeleyev University of Chemical Technology of Russia |
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E-mail
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activ-invest@mail.ru |
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Location
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Moscow |
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Articles
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Constructing integrated model for risk management of metallurgical enterpriseA method of risk management in the metallurgical enterprise is proposed. Activities specific features are considered and risk management process is decomposed in such a way that every task is mathematically described and allocated to one of the steps originated from the decomposition. Read more...The trajectory estimation model for project management in creation and organization of high-technology industrial products productionThe projects of creation and organization the high-technology industrial products production include
interrelated tasks (activities) of envisioning, planning, design and developing. Such projects have several
specifics, such as different structural relationships between activities, high level of information
uncertainty and large amount of controlled parameters. The quantity of these parameters depends on
external factors and internal connections of the project. The described peculiarities determine the necessity
of modifying of widely practiced project management formal methods and models. The article
describes requirements to project models, on which the proposed method of model creation is based.
The method includes the following stages: the decomposition of the project to subprojects; the creation
of network models of the subprojects; the creation of the model that consists of activities belonging
to different subprojects and having common input/output connections; the identification of the project
goals with the help of indicators. The indicators may be of different types: quantitative (point ant
interval estimations) and qualitative. The indicators for each goal-oriented project state are integrated
with the use of proposed algorithm and form the project trajectory. The considered model makes possible
to estimate the project trajectory in various time points. As a result the project management becomes
stable under uncertainty.
Read more...
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