Decision-Making for Supplier Selection Based on Ontology and Rules

Decision-Making for Supplier Selection Based on Ontology and Rules
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DOI:
10.1109/icicta.2009.759
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发表时间:
2009-10
期刊:
2009 Second International Conference on Intelligent Computation Technology and Automation
影响因子:
--
通讯作者:
Lu Yiqing;Liu Lu;Li Chen
Lu Yiqing;Liu Lu;Li Chen
中科院分区:
其他
文献类型:
--
作者:
Lu Yiqing;Liu Lu;Li Chen

文献摘要

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供应链成员之间的知识共享可以有效地促进供应链协调。本文介绍了我们基于SCOR和供应链分析规则的本体研究工作。然后对供应商选择的决策问题进行了推理研究。最后,建立了基于本体和规则的协同模型。由于本体是对共享概念模型的标准、明确和形式化的描述,因此在供应链管理中应用语义表达、本体描述的共享知识和自动推理机制可以实现供应链企业的集成。
Knowledge sharing among the supply chain’s constituents can be effective to promote supply chain coordination. This paper we present our work on ontology based on SCOR and analysis rules of supply chain. And then an issue of decision-making for supplier selection is researched by inference. Finally a coordination model based on ontology and rules is developed. As the ontology is a standard, explicit and formalized description for shared conceptual model, the supply chain enterprises can be integrated by applying semantic express, shared knowledge described by ontology and automatic inference mechanism in supply chain management.