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  • 标题:An Adaptive Supplier Selection Mechanism in E-Procurement Marketplace
  • 本地全文:下载
  • 作者:You, Liangjun ; Yao, Dong-Qing ; Sikora, Riyaz T.
  • 期刊名称:Journal of International Technology and Information Management
  • 印刷版ISSN:1941-6679
  • 出版年度:2017
  • 卷号:26
  • 期号:2
  • 页码:94-116
  • 出版社:California State University, San Bernardino
  • 摘要:B2B e-commerce has fundamentally changed the way in which an organization purchases goods/service. Nowadays, the adoption of e-procurement, which means the electronic acquisition of goods/service, has been prevalent in supply chain management. A variety of supplier selection models have been developed in supply chain management literature. In this research, an adaptive supplier selection mechanism is proposed to help buyers evaluate suppliers in an e-marketplace. A Multi-Agent System simulation package of Repast is used to create a realistic environment where different kinds of suppliers and buyers equipped with the proposed selection model can interact so as to study the performance of the proposed selection model. We evaluate three supplier selection models and find that our proposed model outperforms the other two in terms of robustness and performance.
  • 关键词:Multi-agent systems; Multiple criteria analysis; Simulation; Supplier Quality; Supplier Selection
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