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A mixed-integer programming formulation and Lagrangean relaxation for the cross-dock door assignment problem

机译:跨坞门分配问题的混合整数规划公式和拉格朗日松弛

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In a cross-dock, goods are unloaded from incoming trucks, consolidated according to their destinations, and then, loaded into outgoing trucks with little or no storage in between. In this paper, we study the cross-dock door assignment problem in which the assignment of incoming trucks to strip doors, and outgoing trucks to stack doors is determined, with the objective of minimising the total material handling cost. We present a new mixed integer programming formulation which is embedded into a Lagrangean relaxation that exploits the special structure of the problem to obtain bounds on the optimal solution value. A primal heuristic is used at every iteration of the Lagrangean relaxation to obtain high quality feasible solutions. Computational results obtained on benchmark instances (with up to 20 origins and destinations, and 10 strip and stack doors) and on a new and more difficult set of instances (with up to 50 origins and destinations, and 30 strip and stack doors) confirm the efficiency of the algorithm.
机译:在跨船坞中,将货物从进来的卡车中卸下,根据目的地进行合并,然后装载到待发卡车中,而中间之间几乎没有存储。在本文中,我们研究了跨入库门分配问题,在该问题中,确定了进货卡车到带状门的分配,出车卡车到堆叠门的分配,以最小化总物料搬运成本。我们提出了一种新的混合整数规划公式,该公式嵌入到Lagrangean松弛中,该方程利用问题的特殊结构来获得最佳解值的界限。拉格朗日弛豫的每次迭代都使用原始启发式算法来获得高质量的可行解。在基准实例(最多有20个起点和目的地,以及10个带状门和堆栈门)以及在一组新的且难度较大的实例(最多有50个起点和目的地,以及30个带状门和堆栈门)上获得的计算结果证实了算法的效率。

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