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Inventory – forecasting: Mind the gap

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  • Goltsos, T. .E.
  • Syntetos, A
  • Glock, C. H.
  • Ioannou, G

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  • Goltsos, T. .E. & Syntetos, A & Glock, C. H. & Ioannou, G, 2022. "Inventory – forecasting: Mind the gap," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 131494, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:131494
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/131494/
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    Cited by:

    1. Alexandra Birkmaier & Adhurim Imeri & Gerald Reiner, 2024. "Improving supply chain planning for perishable food: data-driven implications for waste prevention," Journal of Business Economics, Springer, vol. 94(6), pages 1-36, August.
    2. Erkip, Nesim Kohen, 2023. "Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems," European Journal of Operational Research, Elsevier, vol. 308(3), pages 949-959.
    3. De Bock, Koen W. & Coussement, Kristof & Caigny, Arno De & Słowiński, Roman & Baesens, Bart & Boute, Robert N. & Choi, Tsan-Ming & Delen, Dursun & Kraus, Mathias & Lessmann, Stefan & Maldonado, Sebast, 2024. "Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda," European Journal of Operational Research, Elsevier, vol. 317(2), pages 249-272.

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