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Inventory Replenishment Models with Advance Demand Information for Agricultural Online Retailers

In: Operations Research Proceedings 2013

Author

Listed:
  • Haoxuan Xu

    (Huazhong University of Science and Technology)

  • Yeming Gong

    (EMLYON Business School)

  • Chengbin Chu

    (Laboratoire Génie Industriel, Ecole Centrale Paris, Grande Voie des Vignes)

  • Jinlong Zhang

    (Huazhong University of Science and Technology)

Abstract

This paper studies the inventory replenishment planning problems for agricultural online retailers able to obtain advance demand information (ADI) in an environment of time-varying demands. We incorporate ADI into dynamic lot-sizing (DLS) models to formulate the replenishment planning problems for agricultural online retailers. We consider three scenarios in this research. (1) Companies act as pure-play online retailers with customers homogeneous in demand lead time. (2) Online customers are heterogeneous in demand lead time with priorities. (3) Online retailers operate in a bricks-and-clicks structure, in which demands come from both online and offline channels. These channels can be either independent or interactive.

Suggested Citation

  • Haoxuan Xu & Yeming Gong & Chengbin Chu & Jinlong Zhang, 2014. "Inventory Replenishment Models with Advance Demand Information for Agricultural Online Retailers," Operations Research Proceedings, in: Dennis Huisman & Ilse Louwerse & Albert P.M. Wagelmans (ed.), Operations Research Proceedings 2013, edition 127, pages 487-493, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-07001-8_66
    DOI: 10.1007/978-3-319-07001-8_66
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    Cited by:

    1. Janssen, Larissa & Claus, Thorsten & Sauer, Jürgen, 2016. "Literature review of deteriorating inventory models by key topics from 2012 to 2015," International Journal of Production Economics, Elsevier, vol. 182(C), pages 86-112.

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