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Assessing carbon emissions reduction by incorporating automated monitoring system during transit: A case study

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dc.title Assessing carbon emissions reduction by incorporating automated monitoring system during transit: A case study en
dc.contributor.author Efimova, Anastasia
dc.contributor.author Saini, Mohan
dc.relation.ispartof Acta Logistica
dc.identifier.issn 1339-5629 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2023
utb.relation.volume 10
utb.relation.issue 1
dc.citation.spage 79
dc.citation.epage 88
dc.type article
dc.language.iso en
dc.publisher 4S go, s.r.o
dc.identifier.doi 10.22306/al.v10i1.357
dc.relation.uri https://actalogistica.eu/issues/2023/I_2023_08_Efimova_Saini.pdf
dc.subject container logistics en
dc.subject carbon footprint en
dc.subject automated monitoring en
dc.subject emission control en
dc.subject travel time en
dc.description.abstract The green concept in operations is becoming an inevitable part of global maritime logistics activities and has an important influence on the improvement of efficiency and environmental performance. This paper aims to assess the continuous monitoring and tracking of container shipments at the ports in order to reduce carbon emissions thus improving environmental performance. In this research, near real-time RFID data tracing and tracking container cargo are shared by the automated monitoring system. The collected data gathered via digitalization is further analyzed to ensure a greener maritime logistics system. The significant findings of the study for the literature show that the actual fuel consumption is reduced when automated monitoring systems are used at the ports (Ports and CFS (Container freight station)). The reduced fuel consumption during the transit between the ports and CFS has resulted in a reduction in carbon emissions of environmental performance. The results show a 6 % reduction in emissions from port to CFS and 23% from CFS to ports. Thus, effective practices in Green Logistics are considered to be beneficial for carbon emissions. These findings contribute to the understanding and development of effective strategies for logistic operations using technologies to create a green performance. The study was performed in a certain set of environmental dimensions and the results may vary depending on the organization, which can be studied further in future research. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1011525
utb.identifier.obdid 43884477
utb.identifier.scopus 2-s2.0-85153106703
utb.identifier.wok 000992168800008
utb.source j-scopus
dc.date.accessioned 2023-05-24T13:10:17Z
dc.date.available 2023-05-24T13:10:17Z
dc.description.sponsorship IGA/FaME/2021/002, IGA/FaME/2022/005
dc.description.sponsorship Internal Grant Agency of FaME TBU in Zlin [IGA/FaME/2021/002, IGA/FaME/2022/005]
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.access openAccess
utb.ou Department of Industrial Engineering and Information Systems
utb.contributor.internalauthor Efimova, Anastasia
utb.contributor.internalauthor Saini, Mohan
utb.fulltext.sponsorship 1) The authors acknowledge and express sincere gratitude to the Logistics Data bank team and secondary reports along with the participants from the industry for the insights on the topic of this paper. 2) The author would like to thank the Internal Grant Agency of FaME TBU in Zlín No. IGA/FaME/2021/002 and No. IGA/FaME/2022/005 for the financial support to carry out this research.
utb.wos.affiliation [Efimova, Anastasia; Saini, Mohan] Tomas Bata Univ Zlin, Fac Management & Econ, Dept Ind Engn & Informat Syst, Nam TG Masaryka 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Department of Industrial Engineering and Information Systems, Faculty of Management and Economics, Tomas Bata University in Zlin, nám. T. G. Masaryka 5555, Zlín, 760 01, Czech Republic
utb.fulltext.projects IGA/FaME/2021/002
utb.fulltext.projects IGA/FaME/2022/005
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Attribution-NonCommercial 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution-NonCommercial 4.0 International