Organization and problem ontology for supply chain information support system

Authors:
Charu Chandra;Armen Tumanyan
Affiliations:
University of Michigan-Dearborn, Industrial and Manufacturing Systems Engineering Department, 2340 Engineering Complex, 4901 Evergreen Road, Dearborn, MI 48128, United States;University of Michigan-Dearborn, Industrial and Manufacturing Systems Engineering Department, 2340 Engineering Complex, 4901 Evergreen Road, Dearborn, MI 48128, United States
Venue:
Data & Knowledge Engineering
Year:
2007

Citing 14
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Abstract

One means of effective supply chain management is through sharing knowledge among the supply chain's constituents. Knowledge about a supply chain can be classified as organizational and problem specific. Organizational knowledge helps in understanding the domain requirements for supply chain management. Problem-specific knowledge provides input for problem-solving modules. The concept of ontology is applied to systematically document shared knowledge about issues and problems in the supply chain domain. Ontology development for a supply chain-a collaborative process that crosses the individual organizational boundaries of its member and comprises knowledge capture, assembly, storage, and dissemination-is described. The paper then discusses ontology server organization, which facilitates reuse of ontologies in an open environment.