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Enriching demand forecasts with managerial information to improve inventory replenishment decisions: Exploiting judgment and fostering learning

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  • Rekik, Y.
  • Glock, C. H.
  • Syntetos, A.

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  • Rekik, Y. & Glock, C. H. & Syntetos, A., 2017. "Enriching demand forecasts with managerial information to improve inventory replenishment decisions: Exploiting judgment and fostering learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 85375, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:85375
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/85375/
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    File URL: http://www.sciencedirect.com/science/article/pii/S0377221717301066
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    Cited by:

    1. Katsagounos, Ilias & Thomakos, Dimitrios D. & Litsiou, Konstantia & Nikolopoulos, Konstantinos, 2021. "Superforecasting reality check: Evidence from a small pool of experts and expedited identification," European Journal of Operational Research, Elsevier, vol. 289(1), pages 107-117.
    2. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    3. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2021. "Remanufacturing configuration in complex supply chains," Omega, Elsevier, vol. 101(C).
    4. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "OVAP: A strategy to implement partial information sharing among supply chain retailers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 122-136.
    5. Kosgoda, Dilina & Perera, H. Niles & Aloysius, John, 2024. "Effective goal framing for managers using inventory management systems," European Journal of Operational Research, Elsevier, vol. 316(1), pages 138-151.
    6. Boutselis, Petros & McNaught, Ken, 2019. "Using Bayesian Networks to forecast spares demand from equipment failures in a changing service logistics context," International Journal of Production Economics, Elsevier, vol. 209(C), pages 325-333.
    7. Dominguez, Roberto & Cannella, Salvatore & Ponte, Borja & Framinan, Jose M., 2020. "On the dynamics of closed-loop supply chains under remanufacturing lead time variability," Omega, Elsevier, vol. 97(C).

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