• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Computer Integrated Manufacturing >Fuzzy multi-objective optimization for network design of integrated e-supply chains
【24h】

Fuzzy multi-objective optimization for network design of integrated e-supply chains

机译：集成电子供应链网络设计的模糊多目标优化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Worldwide competition originated the development of integrated e-supply chains (IESC) that are distributed manufacturing systems integrating international logistics and information technologies with production. This work builds upon an IESC network design methodology previously proposed to select partners in the different IESC stages and the links connecting them. In order to rank the Pareto optimal solutions obtained by such a method, the paper proposes a second level IESC optimization performed using fuzzy logic. Indeed, fuzzy multi-criteria optimization is particularly suitable for choosing, on the basis of the subjective and qualitative knowledge provided by the decision makers, the IESC configuration from the set of Pareto optimal alternatives. Two fuzzification techniques and two different multi-criteria methods are considered. Moreover, a discussion on the different advantages and limitations of the proposed techniques is provided. Finally, the effectiveness of the methodology is illustrated by way of a case study.
机译：全球竞争源于集成电子供应链（IESC）的发展，该集成电子供应链是将国际物流和信息技术与生产结合在一起的分布式制造系统。这项工作建立在先前提出的IESC网络设计方法论基础上，旨在选择IESC不同阶段的合作伙伴以及连接它们的链接。为了对通过这种方法获得的帕累托最优解进行排名，提出了使用模糊逻辑进行的第二级IESC优化。的确，基于决策者提供的主观和定性知识，模糊多准则优化特别适合从帕累托最优选择集中选择IESC配置。考虑了两种模糊化技术和两种不同的多准则方法。此外，提供了对所提出技术的不同优点和局限性的讨论。最后，通过案例研究说明了该方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号