Forecasting Supply Chain Demand Using Machine Learning Algorithms - Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications - page 362

Mukherjee, S., Osuna, E., & Girosi, F. (1997). Nonlinear prediction of chaotic time series using support
vector machines. Paper presented at the {IEEE} Workshop on Neural Networks for Signal Processing
{VII}, Ameila Island, FL, USA.
Premkumar, G. P. (2000). Interorganization systems and supply chain management: An information
processing perspective. Information Systems Management, 17 (3), 56.
Proctor and Gamble, Co. (2005). 2004 annual report . Cincinnati: Proctor and Gamble Co.
Raghunathan, S. (1999). Interorganizational collaborative forecasting and replenishment systems and
supply chain implications. Decision Sciences, 30 (4), 1053.
Rüping, S. (2005). mySVM-Manual : Universitat Dortmund, Lehrstuhl Informatik 8.
Russell, V. L. (2001). Some practical guidelines for effective sample size determination. The American
Statistician, 55 (3), 187.
Statistics Canada. (2005). Monthly survey of manufacturing (Code 2101) (Publication no. Table 304-
0014 ). Retrieved April 2005, from Statistics Canada.
Stitt, B. (2004). Demand planning: Pushing the rest Of the company to drive results. The Journal of
Business Forecasting Methods & Systems, 23 (2), 2.
Tan, K. C. (2001). A framework of supply chain management literature. European Journal of Purchas-
ing & Supply Management, 7 (1), 39-48.
Vakharia, A. J. (2002). E-business and supply chain management. Decision Sciences, 33 (4), 495.
Vapnik, V. N. (1995). The nature of statistical learning theory. New York: Springer-Verlag.
Vapnik, V. N. Golowich, S., & Smola, A. (1997). Support vector method for function approximation,
regression estimation, and signal processing. Advances in Neural Information Systems, 9 , 281-287.
Walczak, S. (2001). An empirical analysis of data requirements for financial forecasting with neural
networks. Journal of Management Information Systems, 17 (4), 203-222.
Werbos, P. J. (1990). Backpropagation through time: what it does and how to do it. Proceedings of the
IEEE, 78 (10), 1550-1560.
Wisner, J. D., & Stanley, L. L. (1994). Forecasting practices in purchasing. International Journal of
Purchasing and Materials Management, 30 (1), 22.
Yusuf, Y. Y., Gunasekaran, A., Adeleye, E. O., & Sivayoganathan, K. (2004). Agile supply chain capabili-
ties: Determinants of competitive objectives. European Journal of Operational Research, 159 (2), 379.
Zhao, X., Xie, J., & Wei, J. C. (2002). The impact of forecast errors on early order commitment in a
supply chain. Decision Sciences, 33 (2), 251.