...
首页> 外文期刊>Biosystems Engineering >GWorkS - a discrete event simulation model on crop handling processes in a mobile rose cultivation system.
【24h】

GWorkS - a discrete event simulation model on crop handling processes in a mobile rose cultivation system.

机译:GWorkS-移动玫瑰栽培系统中作物处理过程的离散事件模拟模型。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Mobile rose systems are designed to increase labour efficiency. However, many questions remain on best design and settings of operational parameters for best performance. The ultimate goal of this research is an assessment of re-designed horticultural crop production systems and work scenarios on labour and machine performance before implementation. To attain this goal, a queueing network model, GWorkS 1-rose, is presented for simulation of labour processes in a greenhouse with a mobile rose cultivation system. The objective for modelling is to quantify effects of production system changes by means of a flexible and generic model approach. A state-of-the-art mobile rose production system was used to validate and test the GWorkS-rose model. Data from the labour registration system and from video recordings were used for validation. System performance was simulated and compared to the performance measured in the real situation. Results of a single day validation show that the model estimates harvest labour time with an accuracy of 94%. For a one month validation an accuracy of 92% and RRMSE of 18% resulted. The value of RRMSE was caused by missing data on the number of workers at the loop and on the actual gutter speed level. The model can determine best system settings as is illustrated for operator and mobile gutter speed settings at given rose yield levels. It is concluded that the model can be used for studies on design and management of this kind of production systems.
机译:移动玫瑰系统旨在提高劳动效率。但是,关于最佳设计和操作参数设置以获得最佳性能仍有许多问题。这项研究的最终目标是在实施之前,对重新设计的园艺作物生产系统以及劳动力和机器性能的工作方案进行评估。为了实现此目标,提出了一种排队网络模型GWorkS 1-rose,用于模拟带有移动玫瑰栽培系统的温室中的劳动过程。建模的目的是通过灵活且通用的模型方法来量化生产系统变更的影响。最新的移动玫瑰生产系统用于验证和测试GWorkS-rose模型。来自劳工注册系统和视频记录的数据用于验证。模拟了系统性能,并与实际情况下测得的性能进行了比较。一日验证的结果表明,该模型估计收割工时的准确性为94%。经过一个月的验证,结果的准确性为92%,RRMSE为18%。 RRMSE的值是由于缺少环路上的工人数量和实际装订线速度水平的数据所致。该模型可以确定最佳系统设置,如在给定的玫瑰产量水平下针对操作员和移动装订线速度设置所说明的。结论是该模型可用于此类生产系统的设计和管理研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号