Saverio Ferraro, Alessandra Cantini, Leonardo Leoni, Filippo De Carlo
{"title":"Assessing the adequacy of transportation overall vehicle effectiveness for sustainable road transportation","authors":"Saverio Ferraro, Alessandra Cantini, Leonardo Leoni, Filippo De Carlo","doi":"10.1177/18479790231176783","DOIUrl":null,"url":null,"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.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":"284 1","pages":"0"},"PeriodicalIF":4.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering Business Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/18479790231176783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
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.
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