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Development of the stochastic
component assessment model internal potential of technological schemes for
the development of strategies for the restoration of coal industry regions
O.P. Krukovskyi1, O.R. Mamaikin2*,
V.Yu. Medianyk2,
R.K. Sydorenko2,
O.O. Martynenko2
1Institute of Geotechnical Mechanics named
of the M.S. Polyakov of the National Academy of
Sciences of Ukraine, Dnipro, Ukraine
2Dnipro University of Technology, Dnipro, Ukraine
*Corresponding author: e-màil:
mamaykin@yahoo.com
Physical and technical
problems of mining production, 2023, (25), 108-125.
https://doi.org/10.37101/ftpgv25.01.009
full text (pdf)
ABSTRACT
Purpose. To
develop a new approach to the assessment of stochastic components of the
internal potential of technological schemes of coal mines, which will allow
to develop a methodology for the development of strategies for the
restoration of coal mining regions.
Methods. A
complex method is used, which involves the application of decision-making
criteria in conditions of uncertainty; modeling
the potential of the technological scheme based on the use of two criteria
- the maximum EVA with the given possibilities of technological resources
and the minimum production costs.
Findings. The task of forming the potential of mine technological schemes
is reduced to the selection of factors that would most adequately reflect
the main characteristic of the network of mining workings - an indicator of
internal potential that characterizes the length and structure of mining
workings, not as a functional dependence, but as an EVA (added value)
parameter - consequences of the interaction of factors of coal mine
activity in specific mining, geological and technological conditions.
The formation of the internal potential of the mine's technological network
is described by a multifactorial equation, the components of which are the labor productivity of the mining worker; annual progress
of the cleaning line; the coefficient characterizing the length of the mine
workings and the length of the cleaning line. In addition, the fact that
the maximization of the indicator "internal technical potential"
is achieved by minimizing the "ratio of throughput of technological
links", "capacity limitation by factor" and "density of
productive flows" is taken into account, respectively. If we consider
or compare many different options, then the concept of "best" in
terms of stochasticity is ambiguous and not absolute, it depends on what
criterion is used to determine it. Let's assume that two criteria were adopted - the
maximum production with the given possibilities of the resource potential
and the minimum costs for production. It is obvious that the best option in
the sense of the first criterion will not necessarily turn out to be the
best according to the second criterion, for example, if an increase in the
volume of production requires additional investments or subsidies. Thus,
the concept of the "best" option is comparative or relative,
since it is established only that, according to the selected criterion,
this option is "better" than all those
with which it was compared. But the number of
considered variants is always limited, so the existence of one or more
variants that are better than the accepted one is not excluded.
Originality. A
model for estimating stochastic components of technological schemes has been developed. For this, two tasks were considered: 1) minimization of mining costs with a
possible decrease in mine capacity in the current calculation period; 2)
maximizing the level of production at a given resource potential. A
decision-making algorithm was given for each of
the models. All this in the complex made it possible to develop recommendations
for the development of a methodology for the restoration of coal mining
regions.
Practical implications. A
complex decision support system is proposed, which
includes a description of the decision-making algorithm and means of
finding optimal solutions.
Keywords:
technological scheme, parameter, task, efficiency, strategy
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