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.