Prognostic Model of Demand Assessment in Logistics

Aleksandr V. Agenosov –Candidate of Engineering, Associate Professor, Dean of Applied Informatics Department, Liberal Arts University – University for Humanities (Ekaterinburg)., Natal’ya V. Khmelkova –Candidate of Economics, Associate Professor, Head of Economics and Informatization Chair, Applied Informatics Department, Liberal Arts University – University for Humanities (Ekaterinburg).
Year: 2013
DOI:
UDK: 658.711.
Pages: 17-20
Language: russian
Section: The optimization of Russia's Economy Management: finance, economic, mathematical and computer models
Keywords: logistics, demand, mathematical model, forecast, composite method.
Abstract
The article proposes a prognostic model based on the composite method of demand assessment. Using the model allows to improve the quality of demand forecasting, which underlies the planning of companies’ logistics.
License: