A demand forecast model using a combination of surrogate data analysis and optimal neural network approach

Author:

Lau H.C.W.,Ho G.T.S.,Zhao Yi

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference42 articles.

1. Statistical Methods for Forecasting;Abraham,1983

2. Demand forecast in a supermarket using a hybrid intelligent system;Aburto,2003

3. Improved supply chain management based on hybrid demand forecasts;Aburto;Applied Soft Computing,2007

4. The role of forecasting on bullwhip effect for E-SCM applications;Bayraktar;International Journal of Production Economics,2008

5. Forecasting the demand for telephones in Australia;Bhattacharyya;Journal of the Royal Statistical Society: Series C: Applied Statistics,1974

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