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Inventory Replenishment Models with Advance Demand Information for Agricultural Online Retailers

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Book cover Operations Research Proceedings 2013

Part of the book series: Operations Research Proceedings ((ORP))

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.

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References

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Acknowledgments

This research is supported by Collaborative Innovation Center for Modern Logistics and Business of Hubei (Cultivation), Modern Information Management Research Center (MIMRC) of HUST and NSFC (No.70901028; 71271095).

Author information

Authors and Affiliations

  1. School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China

    Haoxuan Xu & Jinlong Zhang

  2. EMLYON Business School, 69134, Ecully Cedex, France

    Yeming Gong

  3. Laboratoire Génie Industriel, Ecole Centrale Paris, Grande Voie des Vignes, 92295, Chatenay-Malabry Cedex, France

    Chengbin Chu

Authors
  1. Haoxuan Xu
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  2. Yeming Gong
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  3. Chengbin Chu
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  4. Jinlong Zhang
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Corresponding author

Correspondence to Yeming Gong .

Editor information

Editors and Affiliations

  1. Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Dennis Huisman

  2. Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Ilse Louwerse

  3. Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands

    Albert P.M. Wagelmans

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© 2014 Springer International Publishing Switzerland

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Xu, H., Gong, Y., Chu, C., Zhang, J. (2014). Inventory Replenishment Models with Advance Demand Information for Agricultural Online Retailers. In: Huisman, D., Louwerse, I., Wagelmans, A. (eds) Operations Research Proceedings 2013. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-07001-8_66

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