Venue / Hotel
This paper considers an integrated scheduling problem in an e-commerce supply chain. The supply chain consists of heterogeneous suppliers, consumer-goods manufacturers that offer online channels, and a network of retailers. The problem is to select a subset of suppliers, assign retailers’ orders, and identify a production schedule with the manufacturers while minimizing the total costs that includes shipping and penalty. We formulate a mixed-integer nonlinear program and develop a hybrid particle swarm optimization algorithm. We then perform computational testing on randomly generated cases and evaluate the performance of the proposed algorithm.