A New Simulation Framework for Intermittent Demand Forecasting Applying Classification Models
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-6502-6_49
Reference11 articles.
1. Kourentzes, N.: Intermittent demand forecasts with neural networks. Int. J. Prod. Econ. 143, 198–206 (2013)
2. Syntetos, A., Babai, M.Z., Everette, S.G.: Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping. J. Bus. Res. 68(8), 1746–1752 (2014)
3. Xu, Q., Na, W., Heping, S.: Review of Croston’s method for intermittent demand forecasting. In: 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE (2012)
4. Johnston, F.R., Boylan, J.E.: Forecasting intermittent demand: a comparative evaluation of Croston’s method. Int. J. Forecast. 12(2), 297–298 (1996)
5. Syntetos, A., Boylan, J.E.: On the bias of intermittent demand estimates. Int. J. Prod. Econ. 71(1), 457–466 (2001)
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