BRIGE: Capacity allocation for networks of queues

BRIGE:队列网络的容量分配

基本信息

  • 批准号:
    0926308
  • 负责人:
  • 金额:
    $ 17.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-08-01 至 2012-07-31
  • 项目状态:
    已结题

项目摘要

The research objective of this BRIGE award is to investigate the trade-off between service capacity and quality of service within the modeling framework of queueing networks. Service capacity will be measured by staffing levels, while quality of service will be measured by expected customer delays. New methodology will be developed in the context of stochastic processing networks, which will be combined with numerical optimization techniques. Three application areas will provide a testbed for the evaluation of the proposed methods: telephone call centers, health care systems, and workforce management.If successful, the results of this research will help improve the efficiency of business processes in some of today's competitive service environments. Since the staffing levels of service personnel constitute a significant portion of the costs involved in many large-scale service systems, systematic allocation of service capacity is particularly relevant in this context. Standard software for process management and optimization uses simulation techniques to allocate service capacity, and therefore essentially only computationally expensive techniques are used in practice. The proposed research agenda identifies and exploits mathematical models that can be used for allocating service capacity in combination with simulation methods, which will potentially lead to more efficient capacity allocation rules for service systems. The research project will be integrated with a comprehensive plan to attract high school students from underrepresented groups to careers in engineering. A key aspect of this plan is the development of a computer program in which students are challenged to manage queues in an amusement park.
本次布里奇奖的研究目标是在排队网络的建模框架内研究服务能力和服务质量之间的权衡。服务能力将通过人员配备水平来衡量,而服务质量将通过预期的客户延误来衡量。将在随机处理网络的背景下开发新的方法,该方法将与数值优化技术相结合。三个应用领域将为评估建议的方法提供试验台:电话呼叫中心、医疗保健系统和劳动力管理。如果成功,这项研究的结果将有助于在当今一些竞争激烈的服务环境中提高业务流程的效率。由于在许多大型服务系统中,服务人员的员额配置占所涉费用的很大一部分,因此,在这方面,系统地分配服务能力特别重要。流程管理和优化的标准软件使用模拟技术来分配服务能力,因此在实践中基本上只使用计算昂贵的技术。提出的研究议程确定并利用了可用于服务容量分配的数学模型,并结合仿真方法,这将潜在地导致服务系统的更有效的容量分配规则。该研究项目将与一项综合计划相结合,以吸引来自代表性不足群体的高中生投身工程职业。该计划的一个关键方面是开发一种计算机程序,在该程序中,学生们被要求管理游乐园的排队情况。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Antonius Dieker其他文献

Antonius Dieker的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Antonius Dieker', 18)}}的其他基金

CAREER: Stochastic Processes in High Dimensions: from Asymptotic Analysis to Algorithms
职业:高维随机过程:从渐近分析到算法
  • 批准号:
    1551829
  • 财政年份:
    2015
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Standard Grant
CAREER: Stochastic Processes in High Dimensions: from Asymptotic Analysis to Algorithms
职业:高维随机过程:从渐近分析到算法
  • 批准号:
    1252878
  • 财政年份:
    2013
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Standard Grant

相似海外基金

Enabling Ethical Research; A Bioethics Capacity Building Program in Pakistan
促进伦理研究;
  • 批准号:
    10655410
  • 财政年份:
    2022
  • 资助金额:
    $ 17.5万
  • 项目类别:
Enabling Ethical Research; A Bioethics Capacity Building Program in Pakistan
促进伦理研究;
  • 批准号:
    10418844
  • 财政年份:
    2022
  • 资助金额:
    $ 17.5万
  • 项目类别:
IRIS DiRAC capacity hardware allocation for FY2022 for Cambridge University
剑桥大学 2022 财年 IRIS DiRAC 容量硬件分配
  • 批准号:
    ST/X005593/1
  • 财政年份:
    2022
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Research Grant
Capacity of Emergency Centres across Kenya to handle NCD emergencies
肯尼亚各地急救中心处理非传染性疾病紧急情况的能力
  • 批准号:
    10356924
  • 财政年份:
    2021
  • 资助金额:
    $ 17.5万
  • 项目类别:
IRIS DiRAC capacity hardware allocation for FY2021 for Cambridge University
剑桥大学 2021 财年 IRIS DiRAC 容量硬件分配
  • 批准号:
    ST/W006936/1
  • 财政年份:
    2021
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Research Grant
Capacity of Emergency Centres across Kenya to handle NCD emergencies
肯尼亚各地急救中心处理非传染性疾病紧急情况的能力
  • 批准号:
    10115209
  • 财政年份:
    2021
  • 资助金额:
    $ 17.5万
  • 项目类别:
Allocation of Responsive Capacity in Managing Supply Chain Disruptions
管理供应链中断时的响应能力分配
  • 批准号:
    RGPIN-2015-03795
  • 财政年份:
    2019
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Discovery Grants Program - Individual
Overloaded Queuing Systems: Service Capacity Allocation and Incentive Issues
超载的排队系统:服务能力分配和激励问题
  • 批准号:
    436156-2013
  • 财政年份:
    2018
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Discovery Grants Program - Individual
Stochastic Optimization Models for Capacity Planning and Allocation in Freight Transportation Services
货运服务运力规划和分配的随机优化模型
  • 批准号:
    533221-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Engage Grants Program
Allocation of Responsive Capacity in Managing Supply Chain Disruptions
管理供应链中断时的响应能力分配
  • 批准号:
    RGPIN-2015-03795
  • 财政年份:
    2018
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了