Schedule on the relief supplies with transportation models in emergency logistics

Emergency logistics is most important to disaster response operations, and the loss caused by the disaster will be reduced significantly if the logistics is scheduled efficiently. In this paper we investigate an emergency relief logistics scheduling problem with three transportation modes. The first stage is to select the transportation modes available efficiently and coordinately, and the goal of the first stage is to minimize the cost caused by selecting transportation modes for the demand points. The second stage is to determine the transportation and dispatching for relief supplies to each demand point by using the transport modes determined by the first stage. The objective of the second stage is to minimize the unsatisfied demand cost for the demand points. We propose DPSO algorithm and BPSO algorithm to solve two stages respectively. Numerical experiments show that the proposed algorithms are effective and stability.