Paper Info
Title
Experience in Developing Concurrent Inferences on a De-regulated Supply Chain Network
Abstract
A de-regulated supply chain network allows providers and requesters to freely engage with each other without having to go through the pre-agreed supply chain channels. This poses a potentially complex situation with a high degree of uncertainty in an e-business environment where the size of the marketplace can grow very rapidly. Inference is a way of discovering the best use of resources to reach a balance between supply and demand. It is a solution to help establish a designated relationship between supplier and requester. In this paper, we share the experience of developing concurrent inferences and reasoning on the supply chain network to ensure the efficient establishment of channels between suppliers and requester. The focus will be on the design and implementation of the concurrent inference process on the supply chain and comes with preliminary experimental results.
Year
DOI
Venue
2013
10.1109/WAINA.2013.110
Advanced Information Networking and Applications Workshops
Keywords
Field
DocType
e-business environment,pre-agreed supply chain channel,de-regulated supply chain network,supply chain network,concurrent inference,supply chain,complex situation,concurrent inferences,concurrent inference process,best use,efficient establishment,supply chains,engines,web services,network,electronic commerce,instruction sets,supply chain management,indexes,reasoning,supply and demand,cognition
Service management,Instruction set,Inference,Computer science,Supply chain network,Supply chain management,Supply chain,Web service,Supply and demand,Process management,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-4952-1
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Paul Moynihan1102.45
Wei Dai241.25