供应链信息流结构及其在阿拉斯加原油供应链中的应用

B. Hull
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引用次数: 40

摘要

一个有效的供应链需要一个平稳运行的信息系统。准确的信息必须以及时、协调的方式在各个环节之间流动,从而最大限度地减少失真。该系统必须包含供需信息,以及影响供应链的真实世界事件的不断变化的信息。本文通过数据流程图(DFD)提供了这些流程的结构,并对其在阿拉斯加北坡石油(ANS)供应链中的应用进行了案例研究。介绍了该DFD在推、拉和混合推/拉供应链中的特性。管理层可以使用DFD方法来改善供应链运作。可以对信息流进行合理化和流线型处理,并定义反馈循环来衡量绩效。IT专业人员可以将DFD的通用性质应用于各种物流活动,包括仓库和承运人操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A structure for supply‐chain information flows and its application to the Alaskan crude oil supply chain
An effective supply chain requires a smoothly operating information system. Accurate information must flow among the links in a timely, coordinated fashion, which minimizes distortion. The system must incorporate supply‐and‐demand information, and constantly changing information about real world events that affect the chain. This paper provides a structure for these flows through a data flow diagram (DFD) and with a case study of its application to the Alaskan North Slope Oil (ANS) supply chain. The properties of this DFD are presented for push, pull and hybrid push/pull supply chains. Management can use the DFD approach to improve supply‐chain operations. Information flows can be rationalized and streamlined and feedback loops can be defined to measure performance. IT professionals can apply the generic nature of the DFD to a wide variety of logistics activities, including warehouse and carrier operations.
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