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The gravity multiple server location problem

机译:重力多服务器定位问题

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摘要

Models for locating facilities and service providers to serve a set of demand points are proposed. The number of facilities is unknown, however, there is a given number of servers to be distributed among the facilities. Each facility acts as an M/M/k queuing system. The objective function is the minimization of the combined travel time and the waiting time at the facility for all customers. The distribution of demand among the facilities is governed by the gravity rule. Two models are proposed: a stationary one and an interactive one. In the stationary model it is assumed that customers do not consider the waiting time at the facility in their facility selection decision. In the interactive model we assume that customers know the expected waiting time at the facility and consider it in their facility selection decision. The interactive model is more complicated because the allocation of the demand among the facilities depends on the demand itself. The models are analyzed and three heuristic solution algorithms are proposed. The algorithms were tested on a set of problems with up to 1000 demand points and 20 servers.
机译:提出了用于定位设施和服务提供商以服务一组需求点的模型。设施的数量未知,但是,在设施之间要分配给定数量的服务器。每个设施都充当M / M / k排队系统。目标功能是使所有客户的总旅行时间和设施等待时间最小化。设施之间的需求分配受重力规则支配。提出了两种模型:固定模型和交互式模型。在固定模型中,假定客户在设施选择决策中未考虑设施的等待时间。在交互式模型中,我们假设客户知道设施的预期等待时间,并在其设施选择决策中予以考虑。交互式模型更加复杂,因为设施之间的需求分配取决于需求本身。对模型进行了分析,提出了三种启发式求解算法。该算法针对一组问题进行了测试,该问题最多包含1000个需求点和20台服务器。

著录项

  • 来源
    《Computers & operations research》 |2011年第3期|p.694-701|共8页
  • 作者

    Tammy Drezner; Zvi Drezner;

  • 作者单位

    Steven G. Mihaylo College of Business and Economics, California State University-Fullerton, Fullerton, CA 92834. United States;

    Steven G. Mihaylo College of Business and Economics, California State University-Fullerton, Fullerton, CA 92834. United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    facility location; heuristics; multiple facilities;

    机译:设施位置;启发式多种设施;

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