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The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy : a case study

Moon, Seongmin; Hicks, Christian; Simpson, Andrew - In: International journal of production economics 140 (2012) 2, pp. 794-802

Persistent link: https://www.econbiz.de/10009682509

A modified Teunter-Syntetos-Babai method for intermittent demand forecasting

Yang, Youpeng; Ding, Chenyi; Lee, Sanghyuk; Yu, Limin; … - In: Journal of management science and engineering 6 (2021) 1, pp. 53-63

Intermittent demand refers to the specific demand pattern with frequent periods of zero demand. It occurs in a variety … industry, even majority of products are in intermittent demand pattern. Due to the usually small and highly variable demand … sizes, accurate forecasting of intermittent demand has always been challenging. However, accurate forecasting of …

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Forecasting intermittent demand for inventory management by retailers : a new approach

Tian, Xin; Wang, Haoqing; Erjiang E. - In: Journal of retailing and consumer services 62 (2021), pp. 1-8

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Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry : a support vector machine model

Jiang, Peng; Huang, Yibin; Liu, Xiao - In: International journal of production research 59 (2021) 24, pp. 7423-7440

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Probabilistic forecasting of heterogeneous consumer transaction-sales time series

Berry, Lindsay R.; Helman, Paul; West, Mike - In: International journal of forecasting 36 (2020) 2, pp. 552-569

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We need to talk about intermittent demand forecasting

Nikolopoulos, Konstantinos - In: European journal of operational research : EJOR 291 (2021) 2, pp. 549-559

Persistent link: https://www.econbiz.de/10012495340

A compound-Poisson Bayesian approach for spare parts inventory forecasting

Babai, M. Zied; Chen, Huijing; Syntetos, A. A.; Lengu, D. - In: International journal of production economics 232 (2021), pp. 1-14

Persistent link: https://www.econbiz.de/10012495564

Forecasting a customer's Next Time Under Safety Stock

Ducharme, Corey; Agard, Bruno; Trépanier, Martin - In: International journal of production economics 234 (2021), pp. 1-10

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On the empirical performance of some new neural network methods for forecasting intermittent demand

Babai, M. Zied; Tsadiras, A.; Papadopoulos, C. - In: IMA journal of management mathematics 31 (2020) 3, pp. 281-305

Persistent link: https://www.econbiz.de/10012258678

On the performance of adjusted bootstrapping methods for intermittent demand forecasting

Hasni, M.; Aguir, M. S.; Babai, M. Zied; Jemai, Z. - In: International journal of production economics 216 (2019), pp. 145-153

Persistent link: https://www.econbiz.de/10012106762