Assessing the adequacy of transportation overall vehicle effectiveness for sustainable road transportation

IF 4.9 Q1 BUSINESS
Saverio Ferraro, Alessandra Cantini, Leonardo Leoni, Filippo De Carlo
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引用次数: 0

Abstract

Organizations in today’s supply chains strive for transportation activities optimization. However, transportation is a significant environmental impact activity. Particularly, road transportation is the highest emission rate source and the most widespread modality for last-mile delivery. In this context, the use of performance management tools, such as key performance indicators (KPIs), is a strategy to reach both economic-operative and environmental benefits. Among all KPIs, overall equipment effectiveness (OEE) is one of the most suitable KPIs to measure the utilization of an industrial asset. In the transportation sector, a variant of the OEE, known as the transportation overall vehicle effectiveness (TOVE), is used to define the performance of vehicle distribution activities, such as road transportation for last-mile delivery and urban logistics. Although TOVE is effective for evaluating vehicle performance in terms of administrative availability, operating availability, performance, and quality, the indicator does not take into the environmental impact related to road transportation activities. Literature has proposed several formulations to quantify transport carbon emissions, most of which are linear relationships to the distance travelled. However, these models are not suitable for assessing the TOVE performance of road transportation activities. This paper aims to compare the performance of last-mile delivery in terms of TOVE and carbon emissions evaluated with a distance travelled formulation in two different scenario systems. The comparison shows the inadequacy of TOVE in terms of environmental sustainability, as maximizing road transport performance while ignoring the environmental dimension excludes the minimization of CO 2 emissions. Therefore, the foundation for future developments of TOVE for sustainable road transportation can be established from this divergence.
评估可持续道路运输的运输整体车辆有效性的充分性
当今供应链中的组织都在努力优化运输活动。然而,交通运输是一项影响环境的重大活动。特别是公路运输是排放率最高的来源,也是最后一英里运输最广泛的方式。在这种情况下,使用绩效管理工具,如关键绩效指标(kpi),是实现经济运营和环境效益的一种战略。在所有kpi中,整体设备效率(OEE)是衡量工业资产利用率的最合适的kpi之一。在运输领域,OEE的一种变体,被称为运输整体车辆效率(TOVE),用于定义车辆分配活动的性能,例如最后一英里交付和城市物流的道路运输。虽然TOVE在管理可用性、操作可用性、性能和质量方面评价车辆性能是有效的,但该指标没有考虑与道路运输活动相关的环境影响。文献提出了几种量化运输碳排放的公式,其中大多数与行驶距离呈线性关系。然而,这些模型并不适合评估道路运输活动的TOVE绩效。本文旨在比较两种不同情景系统中TOVE和碳排放评估的最后一英里交付性能。比较显示TOVE在环境可持续性方面的不足,因为最大化道路运输绩效而忽略环境维度排除了二氧化碳排放的最小化。因此,这一分歧可以为TOVE未来可持续道路交通的发展奠定基础。
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
CiteScore
7.50
自引率
6.10%
发文量
17
审稿时长
15 weeks
期刊介绍: The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering
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