Inventory Replenishment Models with Advance Demand Information for Agricultural Online Retailers

摘要

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.