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Demand Forecasting for Inventory Control

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  • Nick T. Thomopoulos

    (Illinois Institute of Technology)

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Suggested Citation

  • Nick T. Thomopoulos, 2015. "Demand Forecasting for Inventory Control," Springer Books, Springer, edition 127, number 978-3-319-11976-2, January.
    • Handle: RePEc:spr:sprbok:978-3-319-11976-2
    DOI: 10.1007/978-3-319-11976-2
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    Cited by:

    1. Julieta MIHAYLOVA, 2023. "An Approach To Modeling The Probable Consumers Demand Of Food Products Using Pearson Distribution System And Johnson Distribution System," Business & Management Compass, University of Economics Varna, issue 3, pages 213-223.
    2. Sagaert, Yves R. & Kourentzes, Nikolaos & De Vuyst, Stijn & Aghezzaf, El-Houssaine & Desmet, Bram, 2019. "Incorporating macroeconomic leading indicators in tactical capacity planning," International Journal of Production Economics, Elsevier, vol. 209(C), pages 12-19.
    3. Koussaila Hamiche & Michel Fliess & Cédric Join & Hassane Abouaïssa, 2019. "Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories," Post-Print hal-02050480, HAL.
    4. Tasdemir, Cagatay & Hiziroglu, Salim, 2019. "Achieving cost efficiency through increased inventory leanness: Evidences from oriented strand board (OSB) industry," International Journal of Production Economics, Elsevier, vol. 208(C), pages 412-433.

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