Degree
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NPhD in Technique, Associate Professor, Novosibirsk State University |
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E-mail
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kafedra_ei@fb.nstu.ru |
Location
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Novosibirsk |
Articles
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On the efficiency of information systems and the method of its estimationThe introduction of information systems (IS) in enterprise management, as experience shows,
quite rarely leads to increase in nomenclature of processed data. The obtained IS-related economic
effectiveness is usually lower than for other innovations in production. For the first time it was noted
by Academician V. A. Trapeznikov, who showed that the causes of this are not temporary or technology-
related, but have fundamental basis, defined by the nature of information processes. The work
proposes the common approach for estimating the effectiveness and optimization of main parameters
of production-technological information systems; we also put forward a method for estimating
the maximum (economically feasible) dimensions of mathematical programming problems that implement
the strategic functions of enterprise management. We also show major dependencies both
for optimization of parameters and estimation of IS local functions efficiency, as well as IS strategic
functions. The proposed methods are probably of most interest for the enterprises in machine-building
industry, which manufacture high-complexity products. The experience of creating IS for such
objects showed that the customer is unable to formulate complete and accurate requirements for the
future system. That is why the process of task setting and software development inevitably becomes
iterative. The analysis of the results of the current stage may lead to changes in any previous ones,
to the extent of creating new versions. To manage such an unpredictable process, it is necessary to
estimate full project cost and its effectiveness based on express-inspection of the enterprise. This
method, which is using advantages of macro-approach to describing complex objects, in fact allows
the completion of this goal even before any works have started. In addition, quite limited amount of
available data is required for calculations.
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