However, the real world is never static. Supply chain requirements keep changing. Customer demand can change in spatial and temporal terms. Manufacturer requirements can change due to product changes. Implementing a network configuration based on today’s data will become sup-optimal under tomorrow’s conditions. There have been studies which looked at dynamic network configuration. They include work from Ballou [35], Sweeney and Tatham [36], Wesolowsky and Truscott [37], Van Roy and Erlenkotter [38]. All these works addressed the problem by dynamically changing the warehouse locations in response to changes in requirements, and typically trade-off the savings achieved with the costs in implementing the change.