...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Production Research >Simulation-based regression analysis for the rack configuration of an autonomous vehicle storage and retrieval system
【24h】

Simulation-based regression analysis for the rack configuration of an autonomous vehicle storage and retrieval system

机译：基于仿真的自动驾驶车辆存储和检索系统机架配置的回归分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a simulation-based regression analysis for the rack configuration of an autonomous vehicle storage and retrieval system (AVS/RS) is presented. The aim of this study is to develop mathematical functions for the rack configuration of an AVS/RS that reflects the relationship between the outputs (responses) and the input variables (factors) of the system under various scenarios. In the regression model, we consider five outputs: the average cycle time of storage and retrieval transactions, the average waiting time for vehicle transactions, the average waiting time of vehicles (transactions) for the lift, the average utilisation of vehicles and the average utilisation of the lifts. The input variables are the number of tiers, aisles and bays that determine the size of the warehouse. Thirty regression models are developed for six warehouse scenarios. The simulation model of the system is developed using ARENA 12.0 commercial software and the statistical analyses are completed using MINITAB statistical software. Two different approaches are used to fit the regression functions - stepwise regression and the best subsets. After obtaining the regression functions, we optimise them using the LINGO software. We apply the approach to a company that uses AVS/ RS in France.
机译：本文提出了一种基于模拟的自动驾驶车辆存储和检索系统（AVS / RS）机架配置的回归分析。这项研究的目的是为AVS / RS的机架配置开发数学功能，以反映各种情况下系统的输出（响应）和输入变量（因子）之间的关系。在回归模型中，我们考虑五个输出：存储和检索事务的平均循环时间，车辆事务的平均等待时间，电梯的车辆（事务）的平均等待时间，车辆的平均利用率和平均利用率的升降机。输入变量是确定仓库大小的层，过道和托架的数量。针对六个仓库场景开发了三十个回归模型。使用ARENA 12.0商业软件开发系统的仿真模型，并使用MINITAB统计软件完成统计分析。两种不同的方法用于拟合回归函数-逐步回归和最佳子集。获得回归函数后，我们使用LINGO软件对其进行优化。我们将该方法应用于在法国使用AVS / RS的公司。

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