The truck scheduling problem is an important problem that consists of assigning each inbound and outbound truck to a door at the dock and then determining the sequences of trucks at each door. Truck scheduling in multi-door cross-docking centers is essential for both customers and cross-docking facilities. In this study, a
Decision Support System (DSS) is designed for the truck scheduling problem for multi-door cross-docking centers. The scheduling model of the DSS uses Simulated Annealing (SA) meta-heuristic. In the solution process, each schedule is established for several different objectives, such as the minimization of the maximum completion time and the total earliness and tardiness, maximization of the total number of shipping products within a working period. The designed DSS provides alternative schedules to decision makers and enables the choice of an appropriate schedule by monitoring the sequences and trade-offs between alternative solutions for the cross-docking center and the customers.