Evaluation of Performance and Cargo-Shock of an Autonomous Handling System for Container Unloading

IF 1.9 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Jasper Wilhelm, N. Hoppe, Christoph Petzoldt, Lennart Rolfs, M. Freitag
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引用次数: 0

Abstract

In the business-to-business sector large quantities of the internationally traded goods are transported by hundreds in identical parcels inside shipping containers. These parcels are often unloaded manually, which is labor-intensive and physically demanding. In previous papers, we presented a novel semi-autonomous container unloading system and an estimation of the performance. In this paper we evaluate the proposed system. Tests are performed in a laboratory testbed with a container and different sized parcels. We use this testbed to record the times for individual tasks of the system as well as the acceleration of the parcels. For comparison, we test the acceleration in the manual and bulk unloading scenario. Following a line-by-line approach, the proposed system’s performance ranges from 261 to 3,014 parcels per hour, between manual and bulk performance. The throughput depends on the parcel’s size and is higher for small parcels. With a maximum shock on the parcels of less than the proposed system induces significantly less force than other approaches (manual and bulk).
集装箱自主装卸系统性能及货物冲击评价
在企业对企业部门,大量的国际贸易货物是由数百个相同的包裹在集装箱内运输的。这些包裹通常是人工卸载的,这是一项劳动密集型工作,对体力要求很高。在以前的论文中,我们提出了一种新型的半自主集装箱卸载系统,并对其性能进行了估计。本文对该系统进行了评价。测试在实验室测试台上进行,有一个容器和不同大小的包裹。我们使用这个测试平台来记录系统各个任务的时间以及包裹的加速度。为了比较,我们测试了手动和散装卸载场景下的加速度。按照逐行方法,拟议系统的性能介于手动和批量性能之间,每小时261至3,014个包裹。吞吐量取决于包裹的大小,小包裹的吞吐量更高。由于对包裹的最大冲击小于所提出的系统所产生的力明显小于其他方法(手动和散装)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Naval Research Logistics
Naval Research Logistics 管理科学-运筹学与管理科学
CiteScore
4.20
自引率
4.30%
发文量
47
审稿时长
8 months
期刊介绍: Submissions that are most appropriate for NRL are papers addressing modeling and analysis of problems motivated by real-world applications; major methodological advances in operations research and applied statistics; and expository or survey pieces of lasting value. Areas represented include (but are not limited to) probability, statistics, simulation, optimization, game theory, quality, scheduling, reliability, maintenance, supply chain, decision analysis, and combat models. Special issues devoted to a single topic are published occasionally, and proposals for special issues are welcomed by the Editorial Board.
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