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.
拥堵发生在对商品和服务以及随机处理或服务时间随机需求的服务和制造系统中。这项研究的目的是找到有效的方法来通过随机建模和分析来减少充血。 它将在随机服务和制造系统中提出三个重要问题:(1)具有多目标的服务系统的系统和政策设计; (2)公共和私人服务系统的竞争和协调; (3)在随机冲击下生产系统的可靠性提高。 第一个问题(与机场的安全检查系统,边境交叉或癌症筛查系统有关的部分相关)将使用简单的排队网络结构来解决。一个两阶段的排队网络(需要某些客户经历第二阶段)可以捕获系统的主要特征,在该系统中,可以将采样错误和等待成本最小化的目标相互转化。对于第二个问题,获得最大的社会利益是主要目标,我们将使用两个渠道排队网络对系统进行建模,并提供客户选择和社会计划者(政府)的干预。最后,第三个问题将使用更多的一般冲击过程来解决供应链中断。 与经典的排队应用相比,拟议的研究在使用排队模型方面具有创新性,该模型涉及公共和私人服务提供商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有关。 拟议的研究与加拿大 - 美国越野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有效管理边境运营的机构的工作,平衡安全和公共安全需求与有效的旅行和贸易。公共和私人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。尽管加拿大的政治家继续辩论两层公共和私人医疗体系的可行性(因为它们已经存在于澳大利亚和某些欧洲国家),但没有用于评估这种系统的定量交通拥堵分析。我的研究产出可以为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,在随机冲击下,针对生产系统可靠性改善的拟议工作将有助于加拿大供应链组织与国际供应商或客户一起,以在不确定的全球环境中提高其公司的运营可靠性,但遭受自然灾害和/或政治动荡。

项目成果

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Zhang, ZheGeorge其他文献

Zhang, ZheGeorge的其他文献

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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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