Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Least expected cost query optimization: an exercise in utility
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Enterprise application integration
Enterprise application integration
IT architectures and middleware: strategies for building large, integrated systems
IT architectures and middleware: strategies for building large, integrated systems
From EDI to Electronic Commerce: A Business Initiative
From EDI to Electronic Commerce: A Business Initiative
Simulation with Arena
Cost Models DO Matter: Providing Cost Information for Diverse Data Sources in a Federated System
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
In Search of Business Success on the Web The Dilemma of Defensive Functionality
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
WebTP: A Benchmark for Web-based Order Management Systems
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
Towards a standardised cross-sector information exchange on present risk factors
CRITIS'07 Proceedings of the Second international conference on Critical Information Infrastructures Security
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The need for supply chain integration (SCI) methodologies has been increasing as a consequence of the globalization of production and sales, and the advancement of enabling information technologies. In this paper, we describe our experience with implementing and modeling SCIs. We present the integration architecture and the software components of our prototype implementation. We then discuss a variety of information sharing methodologies. Then, within the framework of a multi-echelon supply chain process model spanning multiple organizations, we summarize research on the benefits of intra-organizational knowledge sharing, and we discuss performance scalability.