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Inventory control with seasonality of lead times
Riezebos, Jan; Zhu, Stuart X. - In: Omega : the international journal of management science 92 (2020), pp. 1-13
Persistent link: https://www.econbiz.de/10012158215
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When bullwhip increases in the lead time : an eigenvalue analysis of ARMA demand
Gaalman, Gerard J. C.; Disney, Stephen M.; Wang, Xun - In: International journal of production economics 250 (2022), pp. 1-16
Persistent link: https://www.econbiz.de/10013535783
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Forecasting aggregate demand : an analytical evaluation of top-down versus bottom-up forecasting in a production planning framework
Widiarta, Handik; Viswanathan, S.; Piplani, Rajesh - In: International journal of production economics 118 (2009) 1, pp. 87-94
Persistent link: https://www.econbiz.de/10003840648
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Prognose sporadischer Nachfragen : ein Verfahrensvergleich
Speckenbach, Jan - 2017 - 1. Auflage
Persistent link: https://www.econbiz.de/10011653528
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Estimation-based production control of manufacturing-remanufacturing systems with uncertain seasonal return and imprecise demand and inventory
Polotski, Vladmir; Kenné, Jean-Pierre; Gharbi, Ali - In: International journal of production research 62 (2024) 13, pp. 4595-4622
Persistent link: https://www.econbiz.de/10014547363
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Neural, novel & hybrid algorithms for time series prediction
Masters, Timothy - 1995
Persistent link: https://www.econbiz.de/10000551141
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Applying independent component analysis and predictive systems for algorithmic trading
Ceffer, Attila; Levendovszky, Janos; Fogarasi, Norbert - In: Computational economics 54 (2019) 1, pp. 281-303
Persistent link: https://www.econbiz.de/10012134161
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Visualising forecasting algorithm performance using time series instance spaces
Kang, Yanfei; Hyndman, Rob J.; Smith-Miles, Kate - 2016
Persistent link: https://www.econbiz.de/10011781706
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Nonlinear time series modeling : a unified perspective, algorithm and application
Mukhopadhyay, Subhadeep; Parzen, Emanuel - In: Journal of risk and financial management : JRFM 11 (2018) 3, pp. 1-17
empirical time series modeling via the algorithm LPTime. We demonstrate the effectiveness of our theoretical framework using … daily S&P 500 return data between 2 January 1963 and 31 December 2009. Our proposed LPTime algorithm systematically …
Persistent link: https://www.econbiz.de/10011895744
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Visualising forecasting algorithm performance using time series instance spaces
Kang, Yanfei; Hyndman, Rob J.; Smith-Miles, Kate - In: International journal of forecasting 33 (2017) 2, pp. 345-358
Persistent link: https://www.econbiz.de/10011921031