Shipment Consolidation and Synchronization of Inbound-Outbound Supply Chain Flows

进出供应链流程的装运整合和同步

基本信息

  • 批准号:
    RGPIN-2019-06207
  • 负责人:
  • 金额:
    $ 1.89万
  • 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:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

A set of suppliers each furnish one or more products to a group of retailers. Direct shipment, from each origin to every destination, is often inefficient. We study, therefore, the distribution consolidation problem, in which products from multiple origins to the various destinations will be transported via a consolidation terminal. The latter is termed “node O” of the supply chain. As in industry, the flows in this many-to-many supply chain (many suppliers, many retailers) are coordinated by a 3PL (third party logistics provider). We will develop an optimization model, and several extensions, to synchronize these supply-chain flows. The 3PL does not operate its own transportation assets. Rather, it acts as a broker, to arrange shipments via public carriers, of the goods from each supplier that are ordered by each retailer. Based on demand forecasts for the products, the 3PL commits (signs contracts) for a number of “transportation options.” Each such supplier option is a combination of a capacity and an arrival time at the consolidation center O. Similarly, customer transportation options each have a given capacity and time of dispatch from O. Naturally, every option has an associated cost. The demands for each product can be estimated, but because of randomness in those demands, the amount of required transportation capacity and its timing are uncertain. We will thus model this situation as a two-stage stochastic programming problem. The first stage decisions are the assignment of shipments, inbound to O and outbound from there, to respective transportation options. When the actual demands become known, the second stage decisions involve assignment of loads to spot-market carriers, to the degree necessary. We will develop an efficient solution algorithm for this problem. Building on already-existing relationships with a supplier and a 3PL, we will refine the basic model as above, and implement it at one or more partner firms. The team of student researchers and I will then expand the applicability of the model in years 2-5. Among the extensions are the inclusion of demand forecasting within the model; the revision of those forecasts as actual demands of early periods become known; and adaptation and use of the model in a “rolling time horizon” (rather than a fixed, static time period). Theoretical contributions of our proposed research: Enhancing the above as a multi-product solution of the shipment-consolidation problem An extension to Vendor Managed Inventory, in which the 3PL manages the stocks of certain products at particular retailers The inclusion of shipment consolidation within the theory of location modelling. (How many consolidation terminals should there be, and where should they be located?) This research program will train 3 PhD, 3 MASc. and 5 UG. They will gain experience in optimization modeling and software, and will be co-authors of research publications.
一组供应商每人向一组零售商提供一种或多种产品。直接发货,从每个发货地到每个目的地,往往效率低下。因此,我们研究了配送合并问题,即从多个来源到不同目的地的产品将通过一个合并终端运输。后者被称为供应链的“节点O”。 就像在工业中一样,这个多对多的供应链(许多供应商,许多零售商)中的流动由第三方物流提供商(3PL)来协调。我们将开发一个优化模型和几个扩展,以同步这些供应链流程。 第三方物流不经营自己的运输资产。相反,它充当经纪人的角色,通过公共承运人安排由每个零售商订购的来自每个供应商的商品的发货。根据对产品的需求预测,第三方物流承诺(签署合同)一些“运输选择”。每个这样的供应商选项是能力和到达合并中心O的时间的组合。类似地,客户运输选项每个都具有给定的从O发出的能力和时间。自然,每个选项都有关联的成本。 每种产品的需求是可以估计的,但由于这些需求的随机性,所需运输能力的数量和时间是不确定的。因此,我们将把这种情况建模为两阶段随机规划问题。第一阶段的决策是将货物的进货和出货分配给各自的运输选项。当实际需求已知时,第二阶段决策包括在必要的程度上将货物分配给现货市场承运人。 我们将为这个问题开发一个有效的求解算法。在与供应商和第三方物流现有关系的基础上,我们将如上所述改进基本模型,并在一个或多个合作伙伴公司实施。然后,我和学生研究团队将在2-5年级扩大该模型的适用性。这些扩展包括在模型中纳入需求预测;随着早期实际需求的了解而对这些预测进行修订;在“滚动的时间范围”(而不是固定的、静态的时间段)中调整和使用模型。 我们提议的研究的理论贡献: 加强以上作为装运-合并问题的多产品解决方案 供应商管理库存的一种扩展,其中第三方物流管理特定零售商的某些产品的库存 将装运合并纳入选址建模理论。(应该有多少个合并终端,它们应该放在哪里?) 该研究项目将培养3名博士、3名硕士。和5 UG。他们将获得优化建模和软件方面的经验,并将成为研究出版物的联合作者。

项目成果

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Bookbinder, James其他文献

Bookbinder, James的其他文献

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{{ truncateString('Bookbinder, James', 18)}}的其他基金

Shipment Consolidation and Synchronization of Inbound-Outbound Supply Chain Flows
进出供应链流程的装运整合和同步
  • 批准号:
    RGPIN-2019-06207
  • 财政年份:
    2022
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Shipment Consolidation and Synchronization of Inbound-Outbound Supply Chain Flows
进出供应链流程的装运整合和同步
  • 批准号:
    RGPIN-2019-06207
  • 财政年份:
    2021
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Shipment Consolidation and Synchronization of Inbound-Outbound Supply Chain Flows
进出供应链流程的装运整合和同步
  • 批准号:
    RGPIN-2019-06207
  • 财政年份:
    2019
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Logistics and Transportation in Supply Chains
供应链中的物流与运输
  • 批准号:
    RGPIN-2014-04277
  • 财政年份:
    2018
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Challenger Motor Freight: Improving vehicle utilization in truckload transportation
Challenger Motor Freight:提高整车运输中的车辆利用率
  • 批准号:
    526729-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Engage Grants Program
Logistics and Transportation in Supply Chains
供应链中的物流与运输
  • 批准号:
    RGPIN-2014-04277
  • 财政年份:
    2017
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Use of depots for optimized deliveries to Loblaw Stores
使用仓库优化 Loblaw 商店的配送
  • 批准号:
    493486-2015
  • 财政年份:
    2016
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Engage Grants Program
Logistics and Transportation in Supply Chains
供应链中的物流与运输
  • 批准号:
    RGPIN-2014-04277
  • 财政年份:
    2016
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Optimization of automated material flow for cross dock logistics operations
跨码头物流作业的自动化物料流优化
  • 批准号:
    505729-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Engage Grants Program
Logistics and Transportation in Supply Chains
供应链中的物流与运输
  • 批准号:
    RGPIN-2014-04277
  • 财政年份:
    2015
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual

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