Cost Forecast Model Research Based on Trend Extrapolation


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In order to help companies achieve the efficient and accurate forecast production costs with little human and financial resources possibly, we selected a steel factory as example, and the trend extrapolation method is used to study as the main method which belongs to time series forecasting method, the experimental results obtained good effect in practical applications, the study method is very simple and cost savings, the achievement can be used in enterprise easily.



Edited by:

Zhenyu Du and Bin Liu




X. Zhao and X. F. Liu, "Cost Forecast Model Research Based on Trend Extrapolation", Applied Mechanics and Materials, Vol. 65, pp. 40-43, 2011

Online since:

June 2011




[1] GAO Zhiguo, XU Jinyu: Application of Trend Extrapolation in Surface Settlement Prediction. Subgrade Engineering. No. 4(2010), pp.128-130.

[2] MU Cuixia, ZHANG Qin, MAO Wenlin: A Cost Estimation Approach Based on Fuzzy AHP & EBP Neural Networks. Microelectronics & Computer. Vol. 22, No 4(2005), pp.60-65.

[3] Sun Jialong, Guo Shuyan: Time Series Forcasting Model of Ground Surface Deformation Caused by Curtaingrouting for Coalmine Shaft. Journal of Geodesy and Geodynamics. Vo. l 29 No. Feb, 2009, pp.119-122.

[4] HE Bin , LIU Wen , WU Yuhua , LIU Zixian: Application of Cost Drivers and Artificial Neural Networks in Cost Estimation. Industrial Engineering Journal. Vol. 8 No. 4 July 2005, pp.82-85.