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Supply chain infrastructures: system integration and information sharing

Supply chain infrastructures: system integration and information sharing Supply Chain Infrastructures: System Integration and Information Sharing Michael O. Ball, Meng Ma, Louiqa Raschid and Zhengying Zhao Robert H Smith School of Business University of Maryland College Park, MD 20742 mbali @rhsmith.umd.edu Abstract 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 intraorganizational knowledge sharing, and we discuss performance scalability. Our research at the Smith School of Business on the effective use of SCIs within and across organizations follows a two-fold strategy. First, we investigate issues in implementing a prototype SCI, in collaboration with software vendors. We document our experiences with methodologies for intra-organizntional information sharing. Second, within a process oriented model of a multi-echelon SCI spanning multiple organizations, we investigate the following: Decision models to measure the benefits of knowledge sharing for http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGMOD Record Association for Computing Machinery

Supply chain infrastructures: system integration and information sharing

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2002 by ACM Inc.
ISSN
0163-5808
DOI
10.1145/507338.507350
Publisher site
See Article on Publisher Site

Abstract

Supply Chain Infrastructures: System Integration and Information Sharing Michael O. Ball, Meng Ma, Louiqa Raschid and Zhengying Zhao Robert H Smith School of Business University of Maryland College Park, MD 20742 mbali @rhsmith.umd.edu Abstract 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 intraorganizational knowledge sharing, and we discuss performance scalability. Our research at the Smith School of Business on the effective use of SCIs within and across organizations follows a two-fold strategy. First, we investigate issues in implementing a prototype SCI, in collaboration with software vendors. We document our experiences with methodologies for intra-organizntional information sharing. Second, within a process oriented model of a multi-echelon SCI spanning multiple organizations, we investigate the following: Decision models to measure the benefits of knowledge sharing for

Journal

ACM SIGMOD RecordAssociation for Computing Machinery

Published: Mar 1, 2002

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