Shippers' transport efficiency: An approach for measuring load factor

IF 2.1 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Vendela Santén, S. Rogerson
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引用次数: 5

Abstract

One key aspect of effcient transport is load factor: the load carried compared to the maximum load that could be carried in a load unit (e.g. a vehicle). The purpose of this study is to develop an approach that will clarify and describe ways in which shippers can measure load factor. Drawing on existing literature and understanding gained from empirical data the proposed approach uses the load factor model, which structures measurement of load factor overall and at several levels (packaging, shipping, vehicle, fleet) as the ratio of required to available capacity. Shipping level includes utilization of purchased capacity, which is of special interest to shippers. For applying the model in practice, calculation methods linked to availability of data are presented. Calculations of volumetric load factor from two cases illustrate the methods. This paper’s detailed descriptions of how shippers can measure load factor provide calculation structure as well as transparency. Measuring load factor is of interest to evaluate effciency, particularly since load factor is related to transport costs and environmental performance.
托运人运输效率:一种测量载重系数的方法
高效运输的一个关键方面是负载系数:所承载的负载与负载单元(例如车辆)所能承载的最大负载相比。本研究的目的是开发一种方法,将澄清和描述托运人可以测量负载系数的方法。根据现有文献和从经验数据中获得的理解,所提出的方法使用负载因子模型,该模型将总体和几个级别(包装,运输,车辆,车队)的负载因子测量结构作为所需容量与可用容量的比率。运输水平包括采购能力的利用率,这是托运人特别感兴趣的。为了在实际中应用该模型,给出了与数据可用性相关的计算方法。通过两个算例对该方法进行了说明。本文详细描述了托运人如何测量载重系数,提供了计算结构和透明度。测量载重系数对评估效率很有意义,特别是因为载重系数与运输成本和环境绩效有关。
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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