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A capacitated hub location problem under hose demand uncertainty

机译:软管需求不确定的情况下,有能力的轮毂位置问题

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In this study, we consider a capacitated multiple allocation hub location problem with hose demand uncertainty. Since the routing cost is a function of demand and capacity constraints are imposed on hubs, demand uncertainty has an impact on both the total cost and the feasibility of the solutions. We present a mathematical formulation of the problem and devise two different Benders decomposition algorithms. We develop an algorithm to solve the dual subproblem using complementary slackness. In our computational experiments, we test the efficiency of our approaches and we analyze the effects of uncertainty. The results show that we obtain robust solutions with significant cost savings by incorporating uncertainty into our problem. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在这项研究中,我们考虑了带有软管需求不确定性的容量分配多重集线器位置问题。由于路由成本是需求的函数,并且对集线器施加了容量限制,因此需求不确定性会影响总成本和解决方案的可行性。我们提出问题的数学公式,并设计出两种不同的Benders分解算法。我们开发了一种算法来解决使用互补松弛的双重子问题。在我们的计算实验中,我们测试了方法的效率,并分析了不确定性的影响。结果表明,通过将不确定性纳入我们的问题,我们获得了可节省大量成本的强大解决方案。 (C)2017 Elsevier Ltd.保留所有权利。

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