IMITATION MODEL OF DEVELOPING RETAIL NETWORK ON THE PLATFORM IBM COGNOS TM1
https://doi.org/10.21686/2413-2829-2015-3-99-105
Abstract
The authors developed a stimulator of the retail network on the platform IBM Cogcos TM1 meant for research and design of the system of supporting decision-making. The article describes the imitation model of the retail market being a part of the stimulator. Modeling is done for the system consisting of optional number of regions, retail networks available in all regions, three formats of shops which differ in areas and product range and three groups of products. The demand model by Gold/Prey provides an opportunity to model decision-making about the number of shops being opened in various regions and about the trade make-up depending on the assumption concerning competitiveness of shops in the network. The model includes dynamics of demand, prices and costs of marketing, it is parametric and provides serious results with a wide range of income data due to principles of system dynamics, sigma-shaped functions of market response and some additional eristic described in the article.
About the Authors
Vyacheslav V. Nefedov
Celenia Software N. A. Inc.
United States
United States
Program manager, Celenia Software N. A. Inc.
1509 Johnson Ferry Road, Suite 150, Marietta, GA 30062, USA
Olga V. Kitova,
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Doctor of Economics, Assistant Professor, the Head of the Department for Information Science of the PRUE
36 Stremyanny Lane, Moscow, 117997, Russian Federation
Andrey V. Starovoytov
VTB 24 Bank plc
Russian Federation
Russian Federation
Chief Expert of the Department for Banking and Technological Technologies of VTB 24 Bank
35 Myasnitskaya Str., Moscow, 101000, Russian Federation
References
1. De Beule M., Van den Poel D., Van de Weghe N. An Extended Huff-Model for Robustly Benchmarking and Predicting Retail Network Performance. Ghent, Belgium, Ghent University, 2013.
2. Gold S. C., Markulis P. M., Strang D. R. Demand Equation Redux: the Design and Functionality of the Gold/Pray Model in Computerized Business Simulations, Developments in Business Simulation and Experiental Learning, 2011, Vol. 38.
3. Gold S. C., Pray T. F. Modeling Demand in Computerized Business Simulations, Guide to Business Gaming and Experiential Learning, 1990, pp. 117–138.
4. Goosen K. R. Is the Gold/Pray Simulation Demand Model Valid and is it Really Robust? Developments in Business Simulations and Experiential Learning, 2010, Vol. 37. Available at: https://journals.tdl.org/absel/index.php/absel/issue/view/37 5. Hanssens D. M., Leeflang P. S. H., Wittink D. R. Market Response Models and Marketing Practice, Applied Stochastic Models in Business and Industry, 2005, Vol. 21, pp. 423-434. Available at: http://onlinelibrary.wiley.com/doi/10.1002/asmb.584/abstract 6. Hanssens D. M., Parsons L. J., Schultz R. L. Market Response Models: Econometric and Time Series Analysis. Kluwer Academic Publishers, 2003.
5. Rodriguez R. R., Saiz J. J. A., Bas A. O. Quantitative Relationships between Key Performance Indicators for Supporting Decision-Making Processes, Computers in Industry, 2008, Vol. 60 (2), pp. 104–113.
6. Sukharev O. S., Kurmanov N. V. Modelling and Decision-Making Methods in Internet Marketing: Advertising Budget Efficiency and Advertising Quality, Universal Journal of Industrial and Business Management, 2013, Vol. 1 (3), pp. 71–82.
Review
For citations:
Nefedov V.V., Kitova, O.V., Starovoytov A.V. IMITATION MODEL OF DEVELOPING RETAIL NETWORK ON THE PLATFORM IBM COGNOS TM1. Vestnik of the Plekhanov Russian University of Economics. 2015;(3):99-105. (In Russ.) https://doi.org/10.21686/2413-2829-2015-3-99-105
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