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Various operational optimization problems arise in cross-docksynchronization. The combination of the truck scheduling with other decisionproblems in cross-docking has been targeted by researchers in the recent years.In most of the truck scheduling researches, the load and the destination of theoutbound trucks are predetermined. This paper presents a novel cross-dockingoptimization problem in which the truck scheduling is combined by twoassignment problems: the assignment of received loads and the assignment ofdestinations to outbound trucks (product-truck-destination allocation).Moreover, a Just-In-Time (JIT) strategy is imposed on the destination demands,whereas in most of the previous researches the time windows are imposed to thetrucks rather than the demands. An integrated mathematical model is presentedfor this cross-docking problem. The mathematical model is reinforced by twocategories of symmetry breaking constraints. A matheuristic approach, includingtwo mixed-integer mathematical models, is proposed. An adaptive heuristic ispresented to solve the first step of the matheuristic algorithm instead of themathematical model. The solution approaches are analyzed by the extensivecomputational experiments. The numerical results show the efficiency of thehybrid matheuristic to solve the real size instances of the studied problem.

Truck pooling and scheduling in post-distribution cross-docking with JIT demands and synchronized interchangeability