On the empirical performance of some new neural network methods for forecasting intermittent demand
Year of publication: |
2020
|
---|---|
Authors: | Babai, M. Zied ; Tsadiras, A. ; Papadopoulos, C. |
Published in: |
IMA journal of management mathematics. - Oxford : Univ. Press, ISSN 1471-6798, ZDB-ID 2045093-X. - Vol. 31.2020, 3, p. 281-305
|
Subject: | intermittent demand | forecasting | inventory | neural networks | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Nachfrage | Demand | Theorie | Theory | Lagerhaltungsmodell | Inventory model |
-
Intermittent demand forecasts with neural networks
Kourentzes, Nikolaos, (2013)
-
Forecasting intermittent demand for inventory management by retailers : a new approach
Tian, Xin, (2021)
-
A compound-Poisson Bayesian approach for spare parts inventory forecasting
Babai, M. Zied, (2021)
- More ...
-
On the use of machine learning in supply chain management : a systematic review
Babai, M. Zied, (2025)
-
Large production line optimization using simulated annealing
Spinellis, D., (2000)
-
Factors determining Australian saleyard prices for beef cattle
Papadopoulos, C., (1973)
- More ...