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Manufacturing-Uber: Intelligent Operator Assignment in a Connected Factory

机译:制造业优步:互联工厂中的智能操作员分配

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This paper introduces the Manufacturing-Uber concept for dynamic assignment of operators in the Connected Factory. In traditional non-IoT machining environments it is common to assign an operator to a (small) number of machines, clustered in close proximity within a cell. In contrast to “fixed” assignment within a cell, the Manufacturing-Uber approach leverages the connectivity of the IoT environment to allow on-demand “floating” operator assignment across cells. An intelligent assignment engine determines and assigns the operator to achieve best system performance. Results show that Manufacturing-Uber outperforms fixed assignment with respect to reduction in required operators, increased machine up-time and more parts completed.
机译:本文介绍了在互联工厂中动态分配操作员的Manufacturing-Uber概念。在传统的非IoT加工环境中,通常将操作员分配给数量很少的机器,这些机器聚集在一个单元内。与单元内的“固定”分配相反,Manufacturing-Uber方法利用物联网环境的连接性,允许跨单元按需“浮动”操作员分配。智能分配引擎确定并分配操作员以实现最佳系统性能。结果表明,就减少所需操作人员,增加机器正常运行时间和完成更多零件而言,Manufacturing-Uber胜过固定任务。

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