Organization and problem ontology for supply chain information support system

被引:35
作者
Chandra, Charu [1 ]
Tumanyan, Armen [1 ]
机构
[1] Univ Michigan, Dept Ind & Mfg Syst Engn, Dearborn, MI 48128 USA
关键词
ontologies; decision support systems; knowledge modeling; supply chain information support;
D O I
10.1016/j.datak.2006.06.005
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:263 / 280
页数:18
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