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Reliable facility location design under the risk of disruptions

机译:可靠的设施位置设计,不受干扰

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摘要

The uncapacitated fixed charge location problem (UFL) selects facility locations in order to balance the trade-off between initial setup costs and day-to-day transportation costs. Some of the constructed facilities may become unavailable due to disruptions caused by natural disasters, terrorist attacks, or labor strikes. When a facility failure occurs, customers may have to be reassigned from their original facilities to others that require higher transportation costs. This paper presents facility location models that minimize normal construction and transportation costs as well as alternate arrangements against facility failures within the system. No company would accept a supply network with high normal operating costs to take care of very rare facility disruptions, n order to balance the tradeoff between normal operating costs and failure costs, the network structure should depend on how likely the candidate sites may get disrupted, as well as their closeness to the potential customers. The proposed design supply networks are both reliable and cost efficient. The expected transportation costs are minimized in both the regular and the failure scenarios to balance the trade-off between normal and emergency operating costs. The failure of each facility site is assumed to be independent, and the probability is taken as a prior. Two distinct models are presented in this article to handle the reliable facility location problem; one discrete and the other continuous.
机译:无能力的固定收费地点问题(UFL)选择设施地点,以便在初始设置成本和日常运输成本之间进行权衡。由于自然灾害,恐怖袭击或劳工罢工造成的破坏,一些建造的设施可能变得不可用。发生设施故障时,可能必须将客户从其原始设施中重新分配给需要更高运输成本的其他客户。本文介绍的设施位置模型可最大程度地减少正常的建设和运输成本,以及针对系统内设施故障的替代布置。没有一家公司会接受具有较高正常运营成本的供应网络来应对非常罕见的设施中断;为了平衡正常运营成本和故障成本之间的折衷,网络结构应取决于候选站点被破坏的可能性,以及他们与潜在客户的亲密关系。拟议的设计供应网络既可靠又具有成本效益。在常规和故障情况下,都将预期的运输成本降到最低,以平衡正常和紧急运行成本之间的权衡。假定每个设施站点的故障是独立的,并且将概率作为先验。本文提出了两种不同的模型来处理可靠的设施选址问题。一个是离散的,另一个是连续的。

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  • 来源
    《Operations Research》 |2012年第2期|p.117-119|共3页
  • 作者单位

    Department of Industrial Engineering and Operations Research,University of California, Berkeley, Berkeley, CA 94720;

    Department of Industrial Engineering and Operations Research,University of California, Berkeley, Berkeley, CA 94720;

    Department of Civil and Environmental Engineering,University of Illinois at Urbana-Champaign, Urbana, IL 61801;

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