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A Euclidean Distance Optimization Model of Manufacturing Task Parameters for Collaborative Manufacturing Chain of Virtual Enterprises

机译:虚拟企业协同制造链制造任务参数的欧几里德距离优化模型

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摘要

To construct an effective collaborative manufacturing alliance of enterprises under network environment, the conception of collaborative manufacturing chain is presented. Through analyzing the formal description of the manufacturing tasks parameters and the optimization construction process of collaborative manufacturing chain, the optimization model based on the distance of the manufacturing task parameters is founded. Based on the adaptive genetic algorithm, the experiment calculation is conducted with the manufacturing process of a metal product enterprise. The calculation analysis indicates that it is better than the TOPSIS approach in extending the effective search interval. The results show that it is feasible to optimize the collaborative manufacturing chain from the manufacturing task parameters.
机译:为了构建网络环境下企业的有效协同制造联盟,提出了协同制造链的概念。通过分析制造任务参数的正式描述和协同制造链的优化构造过程,基于制造任务参数的距离的优化模型。基于自适应遗传算法,实验计算采用金属产品企业的制造过程进行。计算分析表明它比扩展有效搜索间隔的TopSIS方法更好。结果表明,从制造任务参数中优化协同制造链是可行的。

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