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 this 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.