A Proactive Demand Management Model for Controlling E-Retailer Inventory

Author(s):  
Uday M. Apte ◽  
S. Viswanathan
2007 ◽  
Vol 11 ◽  
pp. 93-99 ◽  
Author(s):  
T. Conradt ◽  
M. Kaltofen ◽  
M. Hentschel ◽  
F. F. Hattermann ◽  
F. Wechsung

Abstract. This second part of the paper presents the details of the eco-hydrological model SWIM simulating the natural water supply and its coupling to WBalMo, a water management model. Based on the climate scenarios of the STAR model, SWIM simulates the natural water and matter fluxes for the entire Elbe River area. All relevant processes are modelled for hydrotopes and the resulting discharges are accumulated in subbasins. The output data are input for the water management model WBalMo and the quality models Moneris and QSim. WBalMo takes storage management, inputs and withdrawals into account and analyses how demands by industry, power plants and households will be met at changing natural supply conditions. Some of the first results shall be presented here.


2011 ◽  
Vol 60 (6) ◽  
pp. 1103-1111
Author(s):  
Yong-Ha Kim ◽  
Hyun-Mi Jo ◽  
Ui-Gyeong Kim ◽  
Jeong-Hui Yoo ◽  
Dong-Gun Kim ◽  
...  

2011 ◽  
Vol 60 (7) ◽  
pp. 1339-1346
Author(s):  
Yong-Ha Kim ◽  
Hyeon-Mi Jo ◽  
Young-Gil Kim ◽  
Hwa-Yong Park ◽  
Hyeong-Jung Kim ◽  
...  

Author(s):  
Anatoly Dzyuba

The relevance of the presented research is determined by the need of the Russian economy for the implementation of advanced methods for improving energy efficiency, one of which is the demand management system for electricity and gas consumption. The objective of the article is to identify a set of macro environmental factors that have a limiting effect on the implementation of an integrated demand management system for the consumption of electricity and natural gas in the Russian economy. The research methods are methods of analysis, synthesis and analytical grouping. On the basis of the PESTEL-analysis, the author carried out a classification of the entire spectrum of factors into six categories: political, economic, socio-cultural, technological, environmental and legal. For each factor the degree of influence on the project of introducing a demand management system was determined on the basis of four signs of degree of importance. According to the influence matrix, all the factors were ranked by degree of influence and probability of occurrence and were prioritized as high, medium and low. For the factors of high and medium priority, a complex of preemptive actions was developed, including administrative control, regulatory and innovative measures. The identified factors, as well as their detailed analysis and classification, form the basis for the development of methodological support for an integrated demand management model for electricity and gas consumption in Russia.


2018 ◽  
Vol 4 (12) ◽  
pp. 9
Author(s):  
Veer Singh Chandraul ◽  
Shyam Kumar Barode

This study demonstrates forecasting practices in supply chain management (SCM) at various areas, particularly Life science, Retail Chain, and FMCG. The authors depicts the scenario of forecasting practices based on secondary data and represents SCM role, demand management, collaborative coordination, etc. In addition, the study reveals the limitation and few practical solutions on forecasting to be useful in the business organization. Consequently the authors describe recommendation and proposes a model on forecasting management model. Though this paper highlights in intensive analysis, however, it unlocks further frontiers for the prospective researchers as well as practitioners in order to apply forecasting techniques.


Author(s):  
A. P. Dzyuba ◽  
L. A. Soloveva

One of the modern and effective tools for energy efficiency improvement at the level of national economies is management of the demand for electrical energy consumption. The mechanism of management of the demand for electrical energy consumption has a significant potential for energy efficiency improvement for the Russian economy, but due to structural features of the Unified Energy System of Russia, the Electrical Energy Demand Management Program is at the stage of concept development. A model of management of the demand for electrical energy consumption for Unified Energy System of Russia has been developed taking into account structural features of the electric power system. Peculiarities of the economic structure of Russia, which influence the formation of the structure of the country’s electric power complex, have been revealed. They were taken into account when developing requirements for the electrical energy demand management system in the Unified Energy System of Russia. The basic features are the multilevel form and hierarchy of the structure; they have been investigated in the process of developing the demand management model. The classification of electric power industry entities, related to processes of electric energy circulation and the influence on the management of the demand for electrical energy consumption, has been developed with economic interests of each entity within the framework of the demand management model. The electrical energy demand management model, which is based on the hierarchical structure of demand management, has been developed and covers the whole complex of management functions and takes into account features of demand management at each management level. The model allows to significantly improve the efficiency of management of the demand for electrical energy consumption, to ensure the quality of management.


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