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A tool for time, variance and energy related performance estimations in a shuttle-based storage and retrieval system

机译：基于航天飞机的存储和检索系统中用于时间，方差和能量相关性能评估的工具

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摘要

The aim of this study is to present a tool that can calculate critical performance measures of different Shuttle-Based Storage and Retrieval System (SBS/RS) designs. Specifically, our aim is to develop an analytical model-based tool that can estimate the mean and variance of travel time of lifts and shuttles, as well as the mean amount of energy consumption and energy regeneration per transaction for a pre-defined SBS/RS design. The methodology illustrated in this paper can also be utilized for any system having a straight discrete travel pattern with equal distance stop points. We are motivated in this study by a relatively new automated storage and retrieval technology, SBS/RS. By the provided tool, one can evaluate these systems' performance promptly by changing the input design parameters (e.g., discrete travel lengths, velocity of vehicles, acceleration/deceleration of vehicles, number of tiers, number of bays, etc.) of these systems. The analytical models used in the tool are verified via simulation for several SBS/RS design scenarios. As a result, it is found that the proposed tool produces highly accurate results, specifically less than 1% Absolute Percentage Error from the simulation results. (C) 2018 Elsevier Inc. All rights reserved.
机译：这项研究的目的是提供一种工具，该工具可以计算不同的基于航天飞机的存储和检索系统（SBS / RS）设计的关键性能指标。具体来说，我们的目标是开发一种基于分析模型的工具，该工具可以针对预先定义的SBS / RS估算升降机和穿梭车的平均旅行时间和旅行时间的方差，以及每笔交易的平均能耗和能量再生量设计。本文中说明的方法还可以用于具有直线离散行进模式且具有相等距离停止点的任何系统。这项研究的动机是相对较新的自动化存储和检索技术SBS / RS。通过提供的工具，可以通过更改这些系统的输入设计参数（例如，离散的行进长度，车辆的速度，车辆的加速/减速，车辆的层数，舱位等）来迅速评估这些系统的性能。 。通过仿真，针对几种SBS / RS设计方案，对工具中使用的分析模型进行了验证。结果，发现所提出的工具产生了高度准确的结果，特别是从模拟结果来看小于1％的绝对百分比误差。 （C）2018 Elsevier Inc.保留所有权利。

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