Assessing the impact of seasonality on the adjustment foods ingredients
https://doi.org/10.20914/2310-1202-2016-1-31-38
Abstract
The article is devoted to the important approach to the possibility of the formation of qualitative and quantitative assessments in the interim analysis of foods quality. A specific feature of the food production is the work under the conditions of information gaps and incomplete source data. Analysis of such information requires special methods, which constitute one of the areas of econometrics. The central problem of econometrics is the formation of an econometric model and identifying opportunities of its use for describing, analyzing and forecast of real economic processes. The objective of this work is the formation of multiple regression model of nutritional and biological value of foods and conducting of subsequent analysis of both the model and its behavior under different initial data, including changes in the composition of the ingredients and their mineral and vitamin value depending on the manufacturing season of these products and possible use of advanced processing means. Changing the composition of the mineral-vitamin ingredients and, therefore, their relative amounts of selected food products over time allows us to apply a dynamic segment approach to such a problem.
About the Authors
G. V. AlekseevRussian Federation
Professor
O. I. Aksenova
graduate
References
1. 1 Puchkov V.F. Reshenie upravlencheskih zadach sredstvami jekonomiko-matematicheskogo modelirovanija [Solution of management tasks by means of economic and mathematical modeling]. Gatchina, 2005, 58 p. (In Russ.).
2. 2 Puchkov V.F., Gratsinskaya G.V. Metodologija postroenija matematicheskih modelej i ocenka parametrov dinamiki ekonomicheskih system [The methodology of constructing mathematical models and parameter estimation of the dynamics of economic systems]. Moscow, 2011, 324 p. (In Russ.).
3. 3 Egoshina E.V. The role of the business segment analysis. Teoriya i praktika obshhestvennogo razvitya [Theory and practice of social development], 2013, no. 2, pp. 200-203. (In Russ.).
4. 4 Egoshina E.V. Metod segmentnogo analiza na potrebitel'skom rynke uslug. diss. kand. ekonom. nauk [Segmental analysis method in the consumer market services. Diss. cand. econ. sci.]. Saint-Petersburg, Sankt-Peterburgskii gosudarstvennyi jekonomicheskii universitet, 2013, 163 p. (In Russ.).
5. 5 Alekseev G.V., Egoshina E.V., Verboloz E.I., Basheva E.P. et al. The approaches of fuzzy logic in biotechnology research for the sustainable use of food resources. Nauchnyj zhurnal NIU ITMO. Seriya: Protsessy i apparaty pishchevykh proizvodstv. [Scientific Journal ITMO. Series: Processes and devices of food manufactures], 2014, no. 4, pp. 244-255. (In Russ.).
6. 6 Alekseev G.V., Voronenko B.A., Golovackij V.A. Analytical study of the process of pulse (digital) thermal effects on processing food raw materials. Novye tehnologii [New Technologies], 2012, no. 2, pp. 11-15. (In Russ.).
7. 7 Belokurova E.V., Derkanosova A.A. Food dry mixtures in the production of composite flour culinary and bakery products of a functional purpose Vestnik voronezhskogo gosudarstvennogo universiteta inzhenernyh tekhnologij [Proceedings of the Voronezh state university of engineering technologies]. 2013, no. 2 (56), pp. 119-124.
8. 8 Rodionova N.S., Derkanosova A.A. The study of consumer properties of composite mixtures for pastry products. Vestnik voronezhskogo gosudarstvennogo universiteta inzhenernyh tekhnologij [Proceedings of the Voronezh state university of engineering technologies]. 2012, no. 1, pp. 98-99.
9. 9 Ostrikov A.N., Shevcov A.A., Danchenkov A.A., Abramov O.V. Sposob avtomaticheskogo upravleniya ehkstruderom [Automatic Control Method extruder]. Patent RF, no. 2130831, 1999.
Review
For citations:
Alekseev G.V., Aksenova O.I. Assessing the impact of seasonality on the adjustment foods ingredients. Proceedings of the Voronezh State University of Engineering Technologies. 2016;(1):31-38. (In Russ.) https://doi.org/10.20914/2310-1202-2016-1-31-38
JATS XML



























