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Operating Staff Optimization in Case of Headed Cabbages Mechanical Harvesting Under Adaptive Technologies

机译:自适应技术下的头部纸巾机械收获情况下的操作员工优化

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A cabbage combine harvester adapted to technological schemes of harvesting is proposed: bulk shipment of heads in the vehicle bed and shipment of heads on flexible flooring with a subsequent delicate packing in containers in the vehicle bed. The machine harvesting process of headed cabbage under the schemes will be efficient and sustainable with optimal composition of the staff engaged in correcting of the non-marketable cut heads on the combine harvester and rearranging from flexible flooring to containers on the vehicle. To do this, the processes are modeled based on the theory of mass service of operations. Therein, correcting of the cabbage heads is considered as a multichannel queuing system (QS) with refusals, and the process of shipment and stacking of cabbages heads in containers - as a delay queuing system. We determined the optimal number of operating staff involved with the correcting of heads n=2 pers., and stacking of cabbages in containers n=3 people. The results of the calculations are checked and confirmed under production conditions.
机译:提出了一种卷心菜组合收割机,适用于技术收获技术方案:车辆床上的头部装运和柔性地板上的头部装运,随后在车辆床上的容器中的巧妙包装。在这些方案下,头部卷心菜的机器收获过程将是有效和可持续的,并且工作人员的最佳组成,从事组合收割机上的非市场性切割头部,并从柔性地板重新排列到车辆上的容器。为此,该过程是基于操作的批量服务理论来建模的。其中,纠正卷心菜头被认为是具有拒绝的多通道排队系统(QS),以及容器中的装运和堆叠卷曲头的过程 - 作为延迟排队系统。我们确定了校正头部n = 2的校正的最佳运营人员数量,并在容器中堆叠纸箱n = 3人。在生产条件下检查并确认计算结果。

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