首页> 外文期刊>Computers & operations research >The impact of hub failure in hub-and-spoke networks: Mathematical formulations and solution techniques
【24h】

The impact of hub failure in hub-and-spoke networks: Mathematical formulations and solution techniques

机译:集线器网络中集线器故障的影响:数学公式和解决方案技术

获取原文
获取原文并翻译 | 示例
           

摘要

Hub facilities are subject to unpredictable disruptions caused by severe weather condition, natural disasters, labor dispute, and vandalism to cite a few. Disruptions at hubs result in excessive transportation costs and economic losses as customers (demand) initially served by these facilities must now be served by other hubs. In this study, we first present a novel mathematical model that builds hub-andspoke systems under the risk of hub disruption. In developing the model, we assume that once a hub stops normal operations, the entire demand initially served by this hub is handled by a backup facility. The objective function of the model minimizes the weighted sum of transportation cost in regular situation and the expected transportation cost following a hub failure. We adopted a linearization for the model and present an efficient evolutionary approach with specifically designed operators. We solved a number of small problem instances from the literature using CPLEX for our enhanced mathematical model. The obtained results are also used as a platform for assessing the performance of our proposed meta-heuristic which is then tested on large instances with promising results. We further study and provide results for the relaxed problem in which demand points affected by disruption are allowed to be reallocated to any of the operational hubs in the network. (C) 2014 Elsevier Ltd. All rights reserved.
机译:集线器设施会受到恶劣天气,自然灾害,劳资纠纷和故意破坏等因素的不可预测的破坏。集线器的中断会导致过多的运输成本和经济损失,因为最初由这些设施提供服务的客户(需求)现在必须由其他集线器提供服务。在这项研究中,我们首先提出一种新颖的数学模型,该模型可以在轮毂损坏的风险下构建轮毂和轮辐系统。在开发模型时,我们假设一旦集线器停止正常运行,该集线器最初满足的全部需求将由备用设施处理。该模型的目标函数将常规情况下的运输成本和轮毂故障后的预期运输成本的加权总和最小化。我们对该模型采用了线性化方法,并通过专门设计的算子提出了一种有效的进化方法。我们使用CPLEX作为增强型数学模型,从文献中解决了许多小问题实例。获得的结果还用作评估我们提出的元启发式算法性能的平台,然后在具有良好结果的大型实例上对其进行测试。我们进一步研究并提供了针对松弛问题的结果,在该问题中,受干扰影响的需求点被允许重新分配到网络中的任何运营中心。 (C)2014 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号