| The Networked Manufacturing Resources Optimizing Configuration System and Its Partners Selection Method |
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| 作者姓名： | DONG Zhao-yang SUN Shu-dong |
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| 作者单位： | [1]Institute of System Integration and Engineering Management, Northwestern Polytechnical University, Xi＇an 710072, P. R. China [2]College of Mechanical and Electronic Engineering, Xi＇an University of Architecture and Technology, Xi＇an 710055, P. R. China |
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| 基金项目： | 高比容电子铝箔的研究开发与应用项目
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教育部高等学校博士学科点专项科研基金 |
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| 摘 要： | 1 IntroductionNetworked manufacturing is the future trend in the manufacturing industry, and it becomes the focusof research today. One of the key problems in networked manufacturing is howto quickly and exactlyconstruct a dynamic and complementary networked manufacturing alliance from the numerous manu-facturers and suppliers based on the manufacturing requirement of the products, so to realize the re-organization, re-configuration and dynamic optimization of the manufacturing resources. Acco…
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| 关 键 词： | 网络制造 资源配置 优化 web服务器 伙伴选择 制造业 |
| 收稿时间： | 2005-04-22 |
The Networked Manufacturing Resources Optimizing Configuration System and Its Partners Selection Method |
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| DONG Zhao-yang SUN Shu-dong.The Networked Manufacturing Resources Optimizing Configuration System and Its Partners Selection Method[J].International Journal of Plant Engineering and Management,2006,11(2):73-82. |
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| Authors: | DONG Zhao-yang SUN Shu-dong |
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| Abstract: | The three levels optimizing strategy is put forward for the networked manufacturing resources optimizing configuration, namely, the optimizing of a logical manufacturing process,the optimizing of simulation-based integration of process planning and scheduling, and the optimizing of networked production scheduling. Then, the web services-based architecture of networked manufacturing resources optimizing configuration is brought forward. Finally, the key algorithm of the networked manufacturing resources optimizing configuration is discussed, namely, the two phases manufacturing partners selection method, which including the group technology-based manufacturing resources pre-configuration and the genetic algorithm-based executable manufacturing process optimizing. |
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| Keywords: | three levels optimizing strategy web services-based system architecture two phases manufacturing partners selection |
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