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A study of Cloud Computing Based Intelligent Scheduling System for Manufacturing Quality

机译:基于云计算的制造质量智能调度系统研究

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In the paper, a cloud computing based intelligent scheduling system for manufacturing quality is proposed. Most of scheduling system is only considered producing time but manufacturing quality. It is very important to focus on manufacturing quality for the industry upgrade. The factors of manufacturing quality are product, equipment, material and human. It makes higher cost for scheduling the flexible manufacturing system. So we develop the cloud computing-based intelligent scheduling system by using artificial neural network and optimized layout method for manufacturing quality in the research. The architecture of the intelligent scheduling system contains: (1) Cloud database structure. (2) Intelligent scheduling engine. (3) Real-time human-machine interface. SQL Azure is used as the cloud database for scattering and storing data. And the intelligent scheduling engine contains the intelligent sequence score system of the products, the optimized layout system and the monitoring system of available resources. By using Visual C#, we can program a human-machine interface with real-time data updating. So that we can see real-time scheduling states of manufacturing by the human-machine interface at any time everywhere. We get good performance from the results of the experiment in the intelligent scheduling system considering manufacturing quality. It is important to develop a cloud computing-based intelligent scheduling system for manufacturing quality because of the advantages of production fluency, low cost, just good quality and flexible management.
机译:本文提出了一种基于云计算的制造质量的智能调度系统。大多数调度系统仅被视为生产时间但制造质量。专注于行业升级的制造质量非常重要。制造质量的因素是产品,设备,材料和人类。它使得调度灵活制造系统的成本更高。因此,我们利用人工神经网络开发了基于云计算的智能调度系统,并优化了研究的制造质量的优化布局方法。智能调度系统的体系结构包含:(1)云数据库结构。 (2)智能调度引擎。 (3)实时人机界面。 SQL Azure用作散射和存储数据的云数据库。智能调度引擎包含产品的智能序列分数系统,优化的布局系统和可用资源的监控系统。通过使用Visual C#,我们可以使用实时数据更新编程人机界面。这样我们就可以随时随地看到人机界面的实时调度状态。考虑到制造质量的智能化调度系统中的实验结果,我们得到了良好的表现。由于生产流畅性,成本低,质量和灵活的管理,开发用于制造质量的云计算智能调度系统。

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