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Two-stage flexible supply contract with payback and information update

Author

Listed:
  • Christian van Delft

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Ali Cheaitou

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Zied Jemai

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Yves Dallery

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

Abstract

In this paper, we consider a two-stage supply contract model for advanced reservation of capacity, with payback option at the beginning of the selling season. Between the two decision stages, external information is collected that serves to update the demand forecast and permits to adjust the decisions of the first stage by exercising options or by returning some units to the supplier. The demand occurs during a single selling period. At the end of the period, the remaining inventory, if any, is sold at a salvage value. During the selling season, any satisfied demand is charged with a unit selling price and any unsatisfied demand is lost. The objective of the model is to determine the quantities to be ordered before the beginning of the selling season which can be interpreted as the amount of capacity to be reserved, in order to satisfy optimally the demand.

Suggested Citation

  • Christian van Delft & Ali Cheaitou & Zied Jemai & Yves Dallery, 2010. "Two-stage flexible supply contract with payback and information update," Post-Print hal-00537098, HAL.
    • Handle: RePEc:hal:journl:hal-00537098
    DOI: 10.1504/EJIE.2010.035655
    as

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    Cited by:

    1. Cheaitou, Ali & Cheaytou, Rima, 2019. "A two-stage capacity reservation supply contract with risky supplier and forecast updating," International Journal of Production Economics, Elsevier, vol. 209(C), pages 42-60.
    2. Cheaitou, Ali & Larbi, Rim & Al Housani, Bashayer, 2019. "Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).

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