Imitation modeling of commodity flows in a logistic distribution system

Kolomytseva, Аnna; Iskra, Helen; Medvedeva, Marina A.; Glumova, Juliya

doi:10.1063/1.5114211

Cited by 13 publications

(2 citation statements)

References 2 publications

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“…The need to support scientific projects of Russian universities and to keep leading world-class scientists in their teams, the creation of an environment conducive to the development of students, the development of universitys' informatization are also significant factors for achieving the goals. A change in these factors with a change in the funding volume allows creating a system-dynamic simulation model [6,7] and using it to build a university strategy based on new approaches and ways to achieve the desired goals in the transition to a digital economy.…”

Section: The Methods and The Empirical Resultsmentioning

confidence: 99%

System-dynamic modeling of the development of universities in the conditions of informatization

Lapshina

Murzahanova

Medvedeva

et al. 2020

International Conference of Numerical Analysis and Applied Mathematics Icnaam 2019

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The work is devoted to the selection of key performance indicators (KPI) of universities, as well as the development of the concept of using these indicators in assessing the effectiveness of universities in the scientific and innovative sector of Russia. The study used a combination of descriptive and deductive methods, as well as experiment.There were analyzed the data on financing, the number of publications indexed in the Web of Science, as well as the number of employees of 14 Russian universities that have been participating since 2013 in the state program "Project 5-100". This program is aimed at the adaptation of Russian universities to international standards and incorporating them into international education environment. A system-dynamic model is constructed that allows, on the basis of the key performance indicators, to find new approaches and ways to achieve the goals set and to build an effective university development strategy in the transition to a digital economy.

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Section: The Methods and The Empirical Resultsmentioning

confidence: 99%

System-dynamic modeling of the development of universities in the conditions of informatization

Lapshina

Murzahanova

Medvedeva

et al. 2020

International Conference of Numerical Analysis and Applied Mathematics Icnaam 2019

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“…To determine development prospects, we will use simulation modeling and draw up a model to determine competitive identity for the territorial unit. Such models are widely used in socio-economic studies [4][5][6][7][8][9][10][11][12][13][14].…”

Section: The Methods and The Empirical Resultsmentioning

confidence: 99%

Model for determining the competitive identity of cities in a digital economy

Lapshina¹,

Murzina²,

Федоров³

et al. 2020

International Conference of Numerical Analysis and Applied Mathematics Icnaam 2019

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The term competitive identity of cities was introduced by Enholt [1] when considering the notion of territory marketing. Such an indicator is significant for determining the investment attractiveness of the territorial entity, and as a consequence of the opportunities for the development of the Territory and its directions. The assessment and prospects for the development of territories are determined by a set of indicators that are quite stable in time, then it is necessary to determine how to predict the directions for improving the efficiency of investment policy, including in the transition to the digital economy.

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Forecasting the development of mechanical engineering using the system dynamics method

Lapshina

Bazhenov

Shakhova

et al. 2020

International Conference of Numerical Analysis and Applied Mathematics Icnaam 2019

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At modern conditions of world economy tendencies, the connections between subjects of economy are becoming more difficult and closer. In particular, if in the past were spread hard forms of private ownership of enterprises at present-day world is going conversion to more flexible and mobile composition of subjects' activities. Computer simulation modeling is giving the best results at the areas were the participants of social and economic activities are spending significant efforts and sufficiently much time for visuality playing and analysis of possible variants of the development of the events. The more difficult is the situation the more objects, factors, and possible variants of events' progress is necessary to play in different combinations between together and bigger effect possible to expect from application of simulation model for analyzing of the situation and for searching and making optimized decisions. The application of system dynamics method allows executing forecasting of economic agents including the sectors of economy.

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Imitation modeling of commodity flows in a logistic distribution system

Cited by 13 publications

References 2 publications

System-dynamic modeling of the development of universities in the conditions of informatization

System-dynamic modeling of the development of universities in the conditions of informatization

Model for determining the competitive identity of cities in a digital economy

Forecasting the development of mechanical engineering using the system dynamics method

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