Optimal Control and Performance Evaluation of Stochastic Service and Manufacturing Systems

随机服务和制造系统的最优控制和性能评估

基本信息

  • 批准号:
    RGPIN-2014-04061
  • 负责人:
  • 金额:
    $ 1.6万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

Congestion occurs in service and manufacturing systems with random demands for goods and services, and random processing or service times. The aim of this research is to find effective ways to reduce congestion via stochastic modeling and analysis. It will contribute to three important issues in stochastic service and manufacturing systems: (1) system and policy design for service systems with multi-objectives; (2) competition and coordination of public and private service systems; and (3) reliability improvement for production systems under random shocks. The first issue (particularly relevant with respect to security-check system at airports, border-crossings, or cancer screening systems) will be addressed using simple queuing network structures. A two-stage queuing network (where some customers are required to go through a second stage) can capture the main characteristics of a system in which the objectives of minimizing sampling errors and waiting costs can be traded-off against each other. For the second issue, where achieving maximum social benefit is the main objective, we model the system with a two channel queuing network with customer choice and social planner’s (government’s) intervention. Finally, the third issue will be addressed utilizing more general shock processes to model supply chain interruptions. Compared with classical queuing applications, the proposed research is innovative in its use of queuing models addressing the coordination of public and private service providers and the relation between multiple objectives in a stochastic service system. The results of this research will therefore be relevant to firms and government agencies seeking to design service or systems and/or control policies to improve their efficiency. The proposed research is highly relevant to the challenges faced by Canada-US border crossing systems or airport’s security checkpoints. Findings can support the work of agencies such as Canada Border Services Agency in managing border operations effectively, balancing security and public safety needs with efficient travel and trade. Work on competition and coordination of public and private service systems is highly relevant to Canada’s healthcare system. While politicians in Canada continue to debate the viability of a two-tier public and private healthcare system (as they already exists in Australia and some European countries), no quantitative congestion analysis for evaluating such a system exists. Outputs from my research can make a significant contribution to the ability of Provincial Governments to design sustainable and affordable healthcare systems. Finally, the proposed work on reliability improvement for production systems under random shocks will help Canadian supply chain organizations with international suppliers or customers to improve the operational reliability of their firms in an uncertain global environment subject to natural disasters and/or political turmoil.
拥堵发生在服务和制造系统中,它们对商品和服务的需求是随机的,加工或服务时间也是随机的。本研究的目的是通过随机建模和分析,找到减少拥堵的有效方法。 它将对随机服务和制造系统中的三个重要问题做出贡献:(1)多目标服务系统的系统和政策设计;(2)公共服务系统和私人服务系统的竞争和协调;(3)随机冲击下生产系统的可靠性改进。 第一个问题(与机场安检系统、边境口岸或癌症筛查系统特别相关)将使用简单的排队网络结构来解决。两阶段排队网络(其中一些顾客被要求经历第二阶段)可以捕捉到系统的主要特征,在该系统中,最小化抽样误差和等待成本的目标可以相互权衡。对于以实现社会效益最大化为主要目标的第二个问题,我们建立了一个具有顾客选择和社会计划者(政府)干预的双通道排队网络模型。最后,第三个问题将利用更一般的冲击过程来模拟供应链中断。 与经典的排队应用相比,该研究的创新之处在于使用了排队模型来解决公共和私人服务提供商之间的协调以及随机服务系统中多个目标之间的关系。因此,这项研究的结果将与寻求设计服务或系统和/或控制政策以提高其效率的公司和政府机构相关。 这项拟议的研究与加拿大-美国边境过境系统或机场安全检查站面临的挑战高度相关。调查结果可以支持加拿大边境服务局等机构有效管理边境行动的工作,平衡安全和公共安全需求与高效的旅行和贸易。公共和私营服务系统的竞争和协调工作与加拿大的医疗保健系统高度相关。尽管加拿大的政界人士继续就公共和私营两级医疗体系的可行性展开辩论(因为澳大利亚和一些欧洲国家已经存在这种体系),但目前还没有用于评估这种体系的定量拥堵分析。我的研究成果可以对省级政府设计可持续和负担得起的医疗保健系统的能力做出重大贡献。最后,拟议的在随机冲击下提高生产系统可靠性的工作将有助于拥有国际供应商或客户的加拿大供应链组织在遭受自然灾害和/或政治动荡的不确定全球环境中提高其公司的运营可靠性。

项目成果

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Zhang, ZheGeorge其他文献

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{{ truncateString('Zhang, ZheGeorge', 18)}}的其他基金

Performance Analysis and Optimization in Stochastic Service and Manufacturing Systems with Customer Choices
客户选择的随机服务和制造系统的性能分析和优化
  • 批准号:
    RGPIN-2019-06364
  • 财政年份:
    2022
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Performance Analysis and Optimization in Stochastic Service and Manufacturing Systems with Customer Choices
客户选择的随机服务和制造系统的性能分析和优化
  • 批准号:
    RGPIN-2019-06364
  • 财政年份:
    2021
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Performance Analysis and Optimization in Stochastic Service and Manufacturing Systems with Customer Choices
客户选择的随机服务和制造系统的性能分析和优化
  • 批准号:
    RGPIN-2019-06364
  • 财政年份:
    2020
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Performance Analysis and Optimization in Stochastic Service and Manufacturing Systems with Customer Choices
客户选择的随机服务和制造系统的性能分析和优化
  • 批准号:
    RGPIN-2019-06364
  • 财政年份:
    2019
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Optimal Control and Performance Evaluation of Stochastic Service and Manufacturing Systems
随机服务和制造系统的最优控制和性能评估
  • 批准号:
    RGPIN-2014-04061
  • 财政年份:
    2018
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Optimal Control and Performance Evaluation of Stochastic Service and Manufacturing Systems
随机服务和制造系统的最优控制和性能评估
  • 批准号:
    RGPIN-2014-04061
  • 财政年份:
    2017
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Optimal Control and Performance Evaluation of Stochastic Service and Manufacturing Systems
随机服务和制造系统的最优控制和性能评估
  • 批准号:
    RGPIN-2014-04061
  • 财政年份:
    2016
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Optimal Control and Performance Evaluation of Stochastic Service and Manufacturing Systems
随机服务和制造系统的最优控制和性能评估
  • 批准号:
    RGPIN-2014-04061
  • 财政年份:
    2014
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual

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Optimal Control and Performance Evaluation of Stochastic Service and Manufacturing Systems
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  • 财政年份:
    2018
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    $ 1.6万
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