Mathematical Simulation Of Adaptive Allocation Of Discrete Resources

Anisimov, E. G.; Anisimov, Vladimir; Sonkin, Michael

doi:10.2991/itsmssm-16.2016.57

Cited by 18 publications

(5 citation statements)

References 7 publications

(13 reference statements)

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“…It postulates that the least questionable representation of functions (3), (4) will be a representation that maximizes uncertainty while taking into account all given information. The application of the maximum uncertainty principle to determine the type of functions (3), (4) allows minimizing subjective information introduced into the forecasting process and sufficiently taking into account the available objective information about the characteristics and conditions of implementation of the process being studied [11][12][13][14][15].…”

Section: Methodical Approach To the Construction Of Conditionally Detmentioning

confidence: 99%

Models for predicting damage due to accidents at energy objects and in energy systems of enterprises

et al. 2019

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Achieving energy security by preventing and timely eliminating the consequences of accidents at energy facilities and in energy supply systems of enterprises is one of the important tasks of energy management. The basis for planning appropriate energy security measures is the prediction of damage from these accidents. The purpose of forecasting is to assess the possibility of an accident occurring at some point in time and leading to a particular damage, and to assess the magnitude of this damage. The article proposed methodological approaches to the construction of mathematical models of such prediction. In this case, as an indicator of damage, the economic losses caused by these accidents are taken. The simulation is based on the representation of this indicator in the form of a step change function of the magnitude of losses in the event of an accident. Depending on the amount of information available in the period prior to forecasting, the mathematical representation of the forecasting problem is reduced to the construction of conditionally determined or stochastic models. Conditionally determined models allow obtaining acceptable damage estimates with a short period of retrospection and small amounts of information, and stochastic models with significantly large amounts. At the same time, the principle of “maximum uncertainty” formalized in the form of maximum entropy is the basis for removing uncertainty in the construction of both conditionally determined and stochastic models. Its use has allowed increasing the objectivity of forecasts by minimizing the subjective information used in modeling. The proposed approaches to the construction of mathematical models for predicting accidents at energy facilities and power supply systems of enterprises are the basis for creating specific techniques for solving relevant energy management tasks both at the micro level at the scale of individual enterprises and at the macro level at the scale of industries, regions and the state as a whole.

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Section: Methodical Approach To the Construction Of Conditionally Detmentioning

confidence: 99%

Models for predicting damage due to accidents at energy objects and in energy systems of enterprises

et al. 2019

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“…Risks at PF are distributed among all project participants, including the state. [9] When implementing PPP projects, the state often does not directly invest money, but contributes to the growth of private investment. However, a state participant of PPP is a generator of certain financial flows.…”

Section: Methodsmentioning

confidence: 99%

Public private partnership as city project management technology

2018

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The paper describes the principle of the public-private partnership as a mechanism for implementing infrastructure projects in cities as well as the forms of organization and financing options for such projects. The basic concepts of the public-private partnership are analyzed. The experience of implementing the public-private partnership in the framework of the project for the construction of the Moscow-Saint Petersburg interstate route is presented. The bottlenecks of the current practice of the public-private partnership were revealed. The purpose of this paper is to propose recommendations for improving the effectiveness of public-private partnership as a form of government-business relations in the Leningrad region based on an analysis of the model of public-private partnership in the region.

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“…Substituting (12), (13) in (8), (9) we find the values of the β-distribution form parameters for the rank correlation coefficients of the considered sales markets of the enterprise's products:…”

Section: Formalized Representation Of the Modelmentioning

confidence: 99%

Enterprise product sales market selection model

Anisimov

Saurenko

2020

E3S Web Conf.

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Efficient sales logistics is the foundation of sustainability of enterprises in the real economy. This is due to the fact that it is the closing link in the logistics system, production of goods and provides a choice of distribution channels and their participants. The choice of distribution channels, first of all, involves the determination of markets for the products manufactured by the enterprise. Due to the need to ensure the effectiveness of this choice of taking into account a large number of various factors, the solution to this problem involves the use of formalized models and techniques. The article proposes a model and methodology that provides a reasonable choice of markets for the products of an enterprise in the real sector of the economy at the initial stage of forming its marketing logistics strategy. The model is based on a formal apparatus of statistical conclusions based on nonparametric statistics. This made it possible to take into account the inherent uncertainty of the source information inherent in the considered selection problem. The proposed model may be useful for digitalization in the field of logistics management of enterprises in the real sector of the economy.

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Mathematical Simulation Of Adaptive Allocation Of Discrete Resources

Cited by 18 publications

References 7 publications

Models for predicting damage due to accidents at energy objects and in energy systems of enterprises

Models for predicting damage due to accidents at energy objects and in energy systems of enterprises

Public private partnership as city project management technology

Enterprise product sales market selection model

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