DETERMINATION OF PLANNING HORIZON WHEN MODELING AN INNOVATION PROJECT
Keywords:
data mining, production function, planning horizon, innovation activityAbstract
The article is devoted to problems of data mining. An algorithm for simulating production activity of an
industrial enterprise is developed. The modified Cobb–Douglas production function, considering the high
material consumption in industrial production and the Hicks-neutral autonomous technical progress, is used
as a model. Modeling is carried out using the “R” programming language with the adjustment of coefficients
considering the multicollinearity effect with the use of the ridge regression mechanism. The author's method
of assessment for innovation activity of an industrial enterprise under implementation of the investment project
on the basis of calculation of the integral dynamics of indicators of production elasticity obtained in the
process of simulation, is proposed. It is proved that the proposed method takes into account the specifics of
the innovation project and its autonomous impact on the final production results of industrial enterprises.
Methodological problem of determining the horizon for simulation of an industrial enterprise’s operational
activity under evaluation of its innovative activity as a result of introduction of the innovative project which
is associated with the moment of net cash flow transition from the project results to the positive zone is
solved. The developed method is tested on the data of JSC ChTPZ while implementing the Vysota-239 innovative
project.
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