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Sales Forecast of an Automobile Industry
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 53 - Number 12 |
| Year of Publication: 2012 |
| Authors: Rashmi Sharma, Ashok K. Sinha |
10.5120/8474-2403
|
Rashmi Sharma, Ashok K. Sinha . Sales Forecast of an Automobile Industry. International Journal of Computer Applications. 53, 12 ( September 2012), 25-28. DOI=10.5120/8474-2403
Abstract
Sales forecast plays a prominent role in business strategy for generating revenue. Sales forecast depends on some of the factors as the market demand, promotion strategy used, living standard of the people, inflation rate, consumables price, public image of the company, market share, quality of service and so on. In this paper sales forecast of Maruti Suzuki Ltd, an automobile industry in India is considered. The inflation rate, petrol price, previous month sale are found to be more prominent parameters influencing the sales forecast of cars in this company. The model is trained using Fuzzy Neural Back Propagation Algorithm. The result thus obtained is compared with other statistical technique like multiple regression technique. However the result obtained by proposed algorithm is found to be superior to the result obtained by multiple linear regression technique.
References
- Chang Pei-Chann , Wang Yen-Wen (2006). Fuzzy Delphi and back propagation model for sales forecasting in PCB industry Expert Systems with Applications 30 (2006) 715–726.
- Mirbagheri Mirnaser(2010). Fuzzy-logic and Neural network Fuzzy forecasting of Iran GDP growth. African Journal of Business Management Vol. 4(6), pp. 925-929.
- Escoda , A. Ortega, ASanz , A. Herms (1997) Demand Forecasting by neural fuzzy technique IEEE, FUZZ-IEEE'97 page no. 1381-1386Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
- Jingtao Yao, Nicholas Teng, Hean-Lee Poh , Chew Lim Tan(1998) Forecasting and Analysis of Marketing Data Using Neural Networks Journal Of Information Science And Engineering 14, 843-862.
- Stoeva Stefka, Nikov Alexander(2000) . A fuzzy backpropagation algorithm. Fuzzy Sets and Systems 112 (2000) 27-39.
- Gholamreza Jandaghi, Reza Tehrani, Davoud Hosseinpour, Rahmatollah Gholipour and Seyed Amir Shahidi Shadkam ,Application of Fuzzy-neural networks in multi-ahead forecast of stock price African Journal of Business Management Vol. 4(6), pp. 903-914, June 2010
- Yan Liu, Min Sun Fuzzy Optimization BP Neural Network Model for Pavement Performance Assessment Proceedings of 2007 IEEE International Conference on Grey Systems and Intelligent Services, November 18-20, 2007, Nanjing, China.
- Jason E. Kutsurelis, Forecasting Financial Markets Using Neural Networks: An analysis of methods and accuracy, Thesis September 1998 , Naval Postgraduate School Monterey, California.
- Rajasekaran S,Vijayalakshmi G. A. ,"Neural Networks,Fuzzy Logic and Genetic Algorithms",PHI, 2003.
- Little, John D. C. , Decision Support Systems for Marketing Managers, Journal of Marketing (pre-1986); Summer 1979; 43, 000003; ABI/INFORM Global pg. 9.
- Horris C. bung, (1995) Neural Network in supply chain, Engineering Management-Conference, IEEE, pg 347-352.
- A. Weigend and N. Gerschenfeld, Eds. , Time Series Prediction: Forecasting the future and Understanding the past reading, MA: Addision –Wesley, 1994.
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