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ISPC Applied technologies, Scranton, USA |
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* Scientific Article * Impact Factor 6.630 |
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Reshenkin AS, Vorobyev SS, Aslanjan RN, Sattarov TK, Antipanov MO
STATISTICAL MODEL OF FORECASTING POSTAL CARGO FLOWS BASED ON THE PRINCIPLES OF LOGISTICS. |
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Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-12-32-4
DOI: http://dx.doi.org/10.15863/TAS.2015.12.32.4
Language: Russian
Citation: Reshenkin AS, Vorobyev SS, Aslanjan RN, Sattarov TK, Antipanov MO (2015) STATISTICAL MODEL OF FORECASTING POSTAL CARGO FLOWS BASED ON THE PRINCIPLES OF LOGISTICS. ISJ Theoretical & Applied Science 12 (32): 28-33. Soi: http://s-o-i.org/1.1/TAS-12-32-4 Doi: http://dx.doi.org/10.15863/TAS.2015.12.32.4 |
Pages: 28-33
Published: 30.12.2015
Abstract: In the article we offer the justification of the forecasting model of postal cargo traffics for the postal network, using the results of statistical data on the functioning of the post offices and the entire network. We present the algorithm of the development of such a model in order to improve the quality of postal services and to reduce the cost of postal transportation on the territory of Rostov region.
Key words: statistical model, algorithm, improvement of the quality of services, reduction of the cost of transportations.
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