The transshipment of inventory between locations in a retail network can lead to reduced costs and improved service levels. In many settings, the arrival of customers is highly unpredictable and customers require immediate service. Therefore, transshipment decisions have to be taken in anticipation of future demand. A dynamic programming approach is used to develop heuristic policies for proactive transshipment. A numerical study is used to demonstrate the strong performance of the heuristics.
|Publication status||Published - 2012|
|Event||INFORMS International Meeting, Beijing, China - Beijing, China|
Duration: 24 Jun 2012 → 27 Jun 2012
|Conference||INFORMS International Meeting, Beijing, China|
|Period||24/06/12 → 27/06/12|