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Mean-Based Error Measures for Intermittent Demand Forecasting

Autor: Prestwich, S. D., Rossi, R., Tarim, S. A., Hnich, B.

Publikováno v: International Journal of Production Research, Taylor & Francis, Vol. 52(22):6782-6791, 2014

To compare different forecasting methods on demand series we require an error measure. Many error measures have been proposed, but when demand is intermittent some become inapplicable, some give counter-intuitive results, and there is no agreement on

Externí odkaz: http://arxiv.org/abs/1310.5663

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Forecasting Intermittent Demand by Hyperbolic-Exponential Smoothing

Autor: Prestwich, S. D., Tarim, S. A., Rossi, R., Hnich, B.

Publikováno v: International Journal of Forecasting, Elsevier, 30(4):928-933, 2014

Croston's method is generally viewed as superior to exponential smoothing when demand is intermittent, but it has the drawbacks of bias and an inability to deal with obsolescence, in which an item's demand ceases altogether. Several variants have bee

Externí odkaz: http://arxiv.org/abs/1307.6102

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Dual Modelling of Permutation and Injection Problems

Autor: Hnich, B., Smith, B. M., Walsh, T.

Publikováno v: Journal Of Artificial Intelligence Research, Volume 21, pages 357-391, 2004

When writing a constraint program, we have to choose which variables should be the decision variables, and how to represent the constraints on these variables. In many cases, there is considerable choice for the decision variables. Consider, for exam

Externí odkaz: http://arxiv.org/abs/1107.0038

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