Inventory Replenishment Models with Advance Demand Information for Agricultural Online Retailers

Haoxuan Xu (), Yeming Gong (), Chengbin Chu and Jinlong Zhang
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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

A chapter in Operations Research Proceedings 2013, 2014, pp 487-493 from Springer

Abstract: 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.

Keywords: Advance Demand Information (ADI); Inventory Replenishment; Lead Time Demand; Online Customer; Unsatisfied Part (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-07001-8_66

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