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Optimization of a forest harvesting set based on the Queueing Theory: Case study from Karelia

机译:基于排队论的森林采伐集料优化:来自卡累利阿的案例研究

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The modern technological process of timber harvesting is a complex system both technically and organizationally. Nowadays, the study of such systems and improvement of their efficiency is impossible without the use of mathematical modeling methods. The paper presents the methodology for the optimization of logging operations based on the queueing theory. We show the adapted queueing model, which characterizes the process of logging with the use of a harvesting set consisting of harvesters and forwarders. We also present the experimental verification of the designated model that confirmed mode’s adequacy. The analysis of the effectiveness of the investigated harvesting set was conducted and the recommendations for its optimization were drawn. The research was conducted in the Pryazhinsky District in the Republic of Karelia. We showed that significant improvement of operational efficiency of the investigated harvesting set in the study area cannot be done by adjusting separate machine operations (i.e. by reducing the time of operations execution and their steadiness). However, a change in the number of machines allowed significant improvement in the operational efficiency. The most optimal harvesting set design for the experimental area consisted of two harvesters and two forwarders.
机译:木材采伐的现代技术过程在技术上和组织上都是一个复杂的系统。如今,如果不使用数学建模方法,就无法研究此类系统及其效率。本文提出了基于排队论的测井作业优化方法。我们显示了经过修改的排队模型,该模型通过使用由收割机和货运代理组成的收割集来描述伐木过程。我们还介绍了指定模型的实验验证,证实了模式的适当性。进行了对所研究的收获组有效性的分析,并提出了对其优化的建议。该研究是在卡累利阿共和国的Pryazhinsky区进行的。我们表明,无法通过调整单独的机器操作(即通过减少操作执行时间及其稳定性)来大幅提高研究区域内被调查收割设备的作业效率。但是,机器数量的变化可以大大提高操作效率。实验区域的最佳收割设备设计包括两个收割机和两个货运代理。

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