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Integrated Models of Facility Location and Network Design

Integrated Models of Facility Location and Network Design
设施选址和网络设计的综合模型
批准号:
418609-2012
负责人:
ContrerasAguilar, IvanAlonso
金额:
$1.75万
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:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
翻译
现代制造业和供应链网络的复杂性日益增加,引起了人们对物流和运输在工程中的重要性的关注。物流涉及货物从生产点到消费点的有效流动。它涉及到库存、运输、仓储和物料搬运等多项活动的集成。在这些活动中,交通运输在成本方面是最重要的,在一个国家的社会、政治和经济活动中发挥着至关重要的作用。例如,在加拿大,2009年运输业占国内生产总值的4.7%,因此为经济贡献了558亿加元(见加拿大统计局)。因此,许多公司将注意力转向物流和运输网络的优化,以确保产品在正确的时间,正确的地点以尽可能低的成本交付。该研究计划的目的是进一步研究和开发设施选址和网络设计的综合模型,这些模型是运输系统战略设计规划的核心,即在航空和卡车运输行业。考虑到现代计算机和语音通信网络的爆炸性增长,这种类型的决策模型也对电信公司至关重要。该计划的一个重要组成部分将集中在新的网络枢纽定位模型,结合了其他功能的真实的应用,如拥塞和可靠性问题,需求和运输成本的不确定性的影响,以及放松经典的假设的研究。这些枢纽网络被国际和国家航空公司广泛使用,如加拿大航空公司,Air Transat和WestJet。网络中心位置也是许多快递和邮政运营商公司(如FedEx、UPS和加拿大邮政公司)的核心问题。该研究计划有可能为解决具有高度实际意义的复杂问题做出实质性贡献。它还将有助于在业务研究和优化的一般领域的创新方法的发展。
英文摘要
The increased complexity of modern manufacturing and supply chain networks has drawn attention to the importance of logistics and transportation in engineering. Logistics deals with the efficient flow of goods from their points of production to their points of consumption. It involves the integration of several activities such as inventory, transportation, warehousing, and material handling. Among these activities, transportation is the most important in terms of costs and plays a crucial role in the social, political and economic activities of a country. For instance, in Canada the transportation industry accounted for 4.7 % of the GDP in 2009 and thus, contributed $55.8 billion to the economy (see Statistics Canada). Many companies are thus turning their attention to the optimization of their logistics and transportation networks to ensure that the products are delivered at the right time, in the right place, and at the least possible cost. The aim of this research program is to further the study and development of integrated models of facility location and network design, which lie at the heart of strategic design planning in transportation systems, namely in the airline and trucking industries. This type of decision models are also of vital interest to telecommunication firms, given the explosive growth of modern computer and voice communication networks. An important part of this program will focus on the study of new network hub location models that incorporate additional features of real applications such as congestion and reliability issues, the effects of uncertainty of demands and transportation costs, and the relaxation of classical assumptions. These hub networks are widespread used by international and national airline companies such as Air Canada, Air Transat, and WestJet. Network hub location is also a central problem for many express delivery and post operator companies such as FedEx, UPS, and Canada Post Corporation. This research program has the potential to make substantial contributions to the solution of complex problems of high practical relevance. It will also contribute to the development of innovating methodologies in the general fields of operations research and optimization.
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Models and Decomposition Methods for Facility Location and Network Design
  • 批准号:
    RGPIN-2018-06704
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2022
  • 负责人:
    ContrerasAguilar, IvanAlonso
  • 依托单位:
Models and Decomposition Methods for Facility Location and Network Design
  • 批准号:
    RGPIN-2018-06704
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2021
  • 负责人:
    ContrerasAguilar, IvanAlonso
  • 依托单位:
Models and Decomposition Methods for Facility Location and Network Design
  • 批准号:
    RGPIN-2018-06704
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2020
  • 负责人:
    ContrerasAguilar, IvanAlonso
  • 依托单位:
Models and Decomposition Methods for Facility Location and Network Design
  • 批准号:
    RGPIN-2018-06704
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2019
  • 负责人:
    ContrerasAguilar, IvanAlonso
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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