MAGAZINE №2(85) April 2018

AUTHORS Berezhnaya L.Y. - Senior Lecturer, Department of Management, Orenburg State University (Orenburg, Russia)

CATEGORY Analytics and reviews  Green Logistics& Supply Chain


The increasing role of environment-oriented management methods is reflected in the development of theoretical aspects of "green" logistics. The author of the article analyzed the total number of articles published over the past 8 years on this topic. As a database, three modern science-metric systems have been chosen: Elibrary, SpringerLink, Scopus. Comparative analysis has shown that the number of publications devoted to a certain degree to "green" logistics has grown over the analyzed period of time. Most actively this direction is developing in Russia. However, there is a certain lag in the publication activity in comparison with foreign science-metric databases. The main reasons for some delay in the Russian scientific school have been identified. Within the framework of the article basing on the previous period study the forecasted number of published articles in 2018 is proposed. 

 Electronic version


Friday, 29 April 2016 10:31

Demand planning in supply chains

MAGAZINE №1 (72) February 2016


CATEGORY   Planning the supply chain 


The paper analyses the demand planning process from supply chain management perspective. The place of the analyzed process in SCOR and GSCF models is investigated. Main steps of the process are clarified: analysis and preparation of historical data; statistical forecasting; manual expert correction of the forecast; forecast verification and confirmation; quality monitoring of forecast and process. Approaches to process data organization are investigated; terminology in this area is presented. The key forecasting methods are analyzed including: qualitative/subjective, cause and effect, time series. Key forecasting models for demand planning in supply chains are systemized. The importance of the quality monitoring of forecasts is highlighted. Main methods of determination of exceptional situations are presented. Key requirements for informational systems of demand planning are formalized. Overview of popular software tools for demand planning is presented.


Published in Supply chain planning

MAGAZINE  №1 (60) February 2014


CATEGORY  Optimization and economic-mathematical modeling Uncertainty and risk in the supply chain Inventory management  


 In paper the algorithm of perfection classical XYZ-analysis of stocks in logistics is considered. Feature of algorithm is ranging the goods is ranging the goods on accuracy of the forecast. Other feature of algorithm is application of an entropy for definition of uncertainty of demand. It is given an example XYZ - the analysis.



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