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
• 负责人: Bookbinder, James
• 金额: $ 1.89万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=758138
• 关键词: Shipment; Consolidation; Synchronization; Inbound; Outbound

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 applicabili

一组供应商为一组零售商提供一种或多种产品。从每个原点到每个目的地的直接运输通常都是无效的。因此，我们研究了分布整合问题，其中将通过合并终端运输从多个起源到各个目的地的产品。后者称为供应链的“节点O”。与行业一样，这个多一到多的供应链中的流量（许多供应商，许多零售商）由3PL（第三方物流提供商）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。 3PL不运营自己的运输资产。相反，它是经纪人，是通过公共承运人来安排每个零售商订购的每个供应商的商品的货物。基于对产品的需求森林人员，3PL委托（标志合同）用于多个“运输”选项。“每个这样的供应商选项都是容量和到达巩固中心的到达时间的组合。同样，客户运输选项都具有给定的能力和派遣时间。每种选择都可以随机运输，但要估算出每种产品的需求。因此，我们将把这种情况视为两阶段的随机编程问题。将按照上述方式完善基本模型，并在一个或多个合作伙伴公司中实施。然后，我和我的研究人员团队将扩展应用程序