References
- Altay, N., Rudisill, F., and Litteral, L.A., Adapting Wright's modification of Holt's method to forecasting intermittent demand, International Journal of Production Economics, 2008, Vol. 111, No. 2, pp. 389-408. https://doi.org/10.1016/j.ijpe.2007.01.009
- Baek, J.-K. and Han, J.-H., Forecasting of Heat Demand in Winter Using Linear Regresson Models for Korea District Heating Corporation, Journal of the Korea Academia-Industrial Cooperation Society 2011, Vol. 12, No. 3, pp. 1488-1494. https://doi.org/10.5762/KAIS.2011.12.3.1488
- Bao, Y., Wang, W., and Zhang, J., Forecasting intermittent demand by SVMs regression, in : Systems, Man and Cybernetics, 2004 IEEE International Conference, 2004, pp. 461-466.
- Carmo, J.L. and Rodrigues, A.J., Adaptive forecasting of irregular demand processes, Engineering Applications of Artificial Intelligence, 2004, Vol. 17, No. 2, pp. 137-143. https://doi.org/10.1016/j.engappai.2004.01.001
- Croston, J.D., Forecasting and stock control for intermittent demands, Journal of the Operational Research Society, 1972, Vol. 23, No. 3, pp. 289-303. https://doi.org/10.1057/jors.1972.50
- Gutierrez, R.S., Solis, A.O., and Mukhopadhyay, S., Lumpy demand forecasting using neural networks, International Journal of Production Economics, 2008, Vol. 111, No. 2, pp. 409-420. https://doi.org/10.1016/j.ijpe.2007.01.007
- Hua, Z. and Zhang, B., A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts, Applied Mathematics and Computation, 2006, Vol. 181, No. 2, pp. 1035-1048. https://doi.org/10.1016/j.amc.2006.01.064
- Hyndman, R.J. and Koehler, A.B., Another look at measures of forecast accuracy, International Journal of Forecasting, 2006, Vol. 22, No. 4, pp. 679-688. https://doi.org/10.1016/j.ijforecast.2006.03.001
- Kourentzes, N., On intermittent demand model optimisation and selection, International Journal of Production Economics, 2014, Vol. 156, pp. 180-190. https://doi.org/10.1016/j.ijpe.2014.06.007
- Lawless, J.F., Negative binomial and mixed Poisson regression, The Canadian Journal of Statistics, 1987, Vol. 15, No. 3, pp. 209-225. https://doi.org/10.2307/3314912
- Lee, S. and Ha, C., Long-Term Demand Forecasting Using Agent-Based Model Application on Automotive Spare Parts, Journal of Society of Korea Industrial and Systems Engineering, 2015, Vol. 38, No. 1, pp. 110- 117. https://doi.org/10.11627/jkise.2014.38.1.110
- Leven, E. and Segerstedt, A., Inventory control with a modified Croston procedure and Erlang distribution, International Journal of Production Economics, 2004, Vol. 90, No. 3, pp. 361-367. https://doi.org/10.1016/S0925-5273(03)00053-7
- Prestwich, S.D., Tarim, S.A., Rossi, R., and Hnich, B., Forecasting intermittent demand by hyperbolic-exponential smoothing, International Journal of Forecasting, 2014, Vol. 30, No. 4, pp. 928-933. https://doi.org/10.1016/j.ijforecast.2014.01.006
- Snyder, R.D., Ord, J.K., and Beaumont, A., Forecasting the intermittent demand for slow-moving inventories : A modelling approach, International Journal of Forecasting, 2012, Vol. 28, No. 2, pp. 485-496. https://doi.org/10.1016/j.ijforecast.2011.03.009
- Syntetos, A.A. and Boylan, J.E., On the bias of intermittent demand estimates, International Journal of Production Economics, 2001, Vol. 71, No. 1-3, pp. 457-466. https://doi.org/10.1016/S0925-5273(00)00143-2
- Syntetos, A.A., Babai, Z., Boylan, J.E., Kolassa, S., and Nikolopoulos, K., Supply chain forecasting : Theory, practice, their gap and the future, European Journal of Operational Research, 2016, Vol. 252, No. 1, pp. 1-26. https://doi.org/10.1016/j.ejor.2015.11.010
- Syntetos, A.A., Forecasting of intermittent demand, Brunel University, 2001.
- Teunter, R.H. and Sani, B., On the bias of Croston's forecasting method, European Journal of Operational Research, 2009, Vol. 194, No. 1, pp. 177-183. https://doi.org/10.1016/j.ejor.2007.12.001
- Teunter, R.H., Syntetos, A.A. and Babai, M.Z., Intermittent demand: Linking forecasting to inventory obsolescence, European Journal of Operational Research, 2011, Vol. 214, No. 3, pp. 606-615. https://doi.org/10.1016/j.ejor.2011.05.018
- Wallstrom, P. and Segerstedt, A., Evaluation of forecasting error measurements and techniques for intermittent demand, International Journal of Production Economics, 2010, Vol. 128, No. 2, pp. 625-636. https://doi.org/10.1016/j.ijpe.2010.07.013