Assessment of the uncertainty factors in computer modelling of an agricultural company operation

Запорожцева, Л. А.; Sabetova, T.V.; Fedulova, Irina

doi:10.1088/1742-6596/1333/7/072029

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Within this context of uncertainty, it is important to cite the work of [27] who determine and evaluated the factors of uncertainty that affect the performance of an agricultural enterprise. That is, for production: agro-technical requirements, scientific results, sustainability of soil fertility; for trade: forecasting and scenario analysis and modeling; for the financial area: monitoring financial conditions and reserves to compensate for fluctuating market conditions.…”

Section: Bibliographic Reviewmentioning

confidence: 99%

A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios

Herrera-Granda

Lorente-Leyva

Peluffo-Ordóñez

et al. 2020

Machine Learning, Optimization, and Data Science

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Ecuador is worldwide considered as one of the main natural flower producers and exporters -being roses the most salient ones. Such a fact has naturally led the emergence of small and medium sized companies devoted to the production of quality roses in the Ecuadorian highlands, which intrinsically entails resource usage optimization. One of the first steps towards optimizing the use of resources is to forecast demand, since it enables a fair perspective of the future, in such a manner that the in-advance raw materials supply can be previewed against eventualities, resources usage can be properly planned, as well as the misuse can be avoided. Within this approach, the problem of forecasting the supply of roses was solved into two phases: the first phase consists of the macro-forecast of the total amount to be exported by the Ecuadorian flower sector by the year 2020, using multi-layer neural networks. In the second phase, the monthly demand for the main rose varieties offered by the study company was micro-forecasted by testing seven models. In addition, a Bayesian network model is designed, which takes into consideration macroeconomic aspects, the level of employability in Ecuador and weather-related aspects. This Bayesian network provided satisfactory results without the need for a large amount of historical data and at a lowcomputational cost.

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Section: Bibliographic Reviewmentioning

confidence: 99%

A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios

Herrera-Granda

Lorente-Leyva

Peluffo-Ordóñez

et al. 2020

Machine Learning, Optimization, and Data Science

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“…The assessment of the level of competition allows adjusting and optimizing the competitive strategy for a particular company operating in the market [9][10][11][12][13][14][15][16][17][18][19].…”

Section: Literature Reviewmentioning

confidence: 99%

Algorithm of Competition Intensity Assessment for a Local Market

Fedulova¹,

Sabetova²,

Шевцова³

et al. 2020

Proceedings of the International Conference on Policies and Economics Measures for Agricultural Development (AgroDevEco 2020)

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Competitiveness improvement is currently one of the urgent problems of the development of Russian economy sector. Methods and procedures for the qualitative assessment of competitiveness of agro-industrial companies are becoming especially important. The competition level is crucial for the development of the market. Features of competition in economy sector are determined by the specifics of this sector. Assessment of the competition level allows adequate adjusting of the strategy of a company. In order to analyze the competition level in the local market, the authors propose the use of the analysis of the size of the market share of participants, the concentration index and the Herfindahl-Hirschman index, for markets with a large number of producers, the coefficient of variation can be used in construction. The obtained quantitative analytical indicators more informatively characterize the market situation, which allows finding, implementing and monitoring the effectiveness of management decisions in various areas.

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Optimization of taxation for business entities under the conditions of regional sustainable development

Bryantseva

Shishkina

Tolstykh

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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One of the current problems of the Russian tax system is optimization of the level of tax burden on agricultural producers. Differentiated business conditions in agricultural production necessitate a review of the definition of the tax base and tax rates of the unified agricultural tax (UAT). The authors propose to calculate the average rate of UAT in the context of the subjects of the Russian Federation (regions) by the country’s average level of climatic conditions, and the natural and climatic potential of the zone should be determined based on the soil fertility index taking into account soil bonitet values and bioclimatic potential. Thus, the results of calculations by regions of the Russian Federation illustrate the following. Regions with the least favorable climatic potential are located within the North-West Federal District-the Komi Republic, the Arkhangelsk Region, the Vologda Region, respectively, and tax rates there should be minimal.

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Assessment of the uncertainty factors in computer modelling of an agricultural company operation

Cited by 3 publications

References 4 publications

A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios

A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios

Algorithm of Competition Intensity Assessment for a Local Market

Optimization of taxation for business entities under the conditions of regional sustainable development

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