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Managing Returnable Containers Logistics - A Case Study Part I - Physical and Information Flow Analysis

机译:管理可回收集装箱物流-案例研究I-物理和信息流分析

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摘要

This case study paper is the result of a projectconducted on behalf of a company, hereon referred to asMidwest Assembly and Manufacturing or MAAN. Thecompany’s operations include component manufacturing,painting, and assembling products. The company alsopurchases a relatively large percentage of componentsand major assemblies that are needed to support finalassembly operations. MAAN uses its own returnablecontainers to transport purchased parts from suppliers.Due to poor tracking of the containers, the company hasbeen experiencing lost containers and occasionalproduction disruptions at its facility well as at thesupplier sites. The objective of this project was to developa proposal to enable MAAN to more effectively track andmanage its returnable containers. The research activitiesin support of this project included the analysis anddocumentation of both the physical flow and theinformation flow associated with the containers as well assome of the technologies that can help with automaticidentification and tracking of containers. The focal pointof this paper is on a macro‐level approach for the analysisof container and information flow within the logisticschain. A companion paper deals with several of theautomatic identification technologies that have thepotential to improve the management of MAANʹsreturnable containers
机译:该案例研究文件是代表一家公司(称为“中西部装配与制造”或MAAN)进行的项目的结果。该公司的业务包括零部件制造,油漆和组装产品。该公司还购买了支持最终装配操作所需的相对较大比例的零部件和主要装配。 MAAN使用自己的可回收集装箱运输从供应商那里购买的零件。由于对集装箱的跟踪不善,该公司在其设施以及供应商的站点上经常遇到集装箱丢失和生产中断的情况。该项目的目的是制定一项提案,以使MAAN能够更有效地跟踪和管理其可回收集装箱。支持该项目的研究活动包括与容器相关的物理流和信息流的分析和记录,以及一些有助于自动识别和跟踪容器的技术。本文的重点是在宏观层面上分析物流链中的集装箱和信息流。伴随论文探讨了几种自动识别技术,这些技术有可能改善MAAN可回收集装箱的管理

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