Evaluation of Smart City Logistics Solutions
The negative effects of goods flows realisation are most visible in urban areas as the places of the greatest concentration of economic and social activities. The main goals of this article were to identify the applicable Industry 4.0 technologies for performing various city logistics (CL) operation...
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Format: | Article |
Language: | English |
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University of Zagreb, Faculty of Transport and Traffic Sciences
2022-09-01
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Series: | Promet (Zagreb) |
Subjects: | |
Online Access: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/87 |
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author | Snežana Tadić Mladen Krstić Milovan Kovač Nikolina Brnjac |
author_facet | Snežana Tadić Mladen Krstić Milovan Kovač Nikolina Brnjac |
author_sort | Snežana Tadić |
collection | DOAJ |
description | The negative effects of goods flows realisation are most visible in urban areas as the places of the greatest concentration of economic and social activities. The main goals of this article were to identify the applicable Industry 4.0 technologies for performing various city logistics (CL) operations, establish smart sustainable CL solutions (SSCL) and rank them in order to identify those which will serve as the base points for future plans and strategies for the development of smart cities. This kind of problem requires involvement of multiple stakeholders with their opposing goals and interests, and thus multiple criteria. For solving it, this article proposed a novel hybrid multi-criteria decision-making (MCDM) model, based on BWM (Best-Worst Method) and CODAS (COmbinative Distance-based ASsessment) methods in grey environment. The results of the model application imply that the potentially best SSCL solution is based on the combination of the concepts of micro-consolidation centres and autonomous vehicles with the support of artificial intelligence and Internet of Things technologies. The main contributions of the article are the definition of original SSCLs, the creation of a framework and definition of criteria for their evaluation and the development of a novel hybrid MCDM model. |
first_indexed | 2024-04-10T09:20:48Z |
format | Article |
id | doaj.art-59c7c0ef73514c228359f241e78da7be |
institution | Directory Open Access Journal |
issn | 0353-5320 1848-4069 |
language | English |
last_indexed | 2024-04-10T09:20:48Z |
publishDate | 2022-09-01 |
publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
record_format | Article |
series | Promet (Zagreb) |
spelling | doaj.art-59c7c0ef73514c228359f241e78da7be2023-02-20T12:30:29ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692022-09-0134572573810.7307/ptt.v34i5.412287Evaluation of Smart City Logistics SolutionsSnežana Tadić0Mladen Krstić1Milovan Kovač2Nikolina Brnjac3Faculty of Transport and Traffic Engineering, University of BelgradeFaculty of Transport and Traffic Engineering, University of BelgradeFaculty of Transport and Traffic Engineering, University of BelgradeFaculty of Transport and Traffic Sciences, University of ZagrebThe negative effects of goods flows realisation are most visible in urban areas as the places of the greatest concentration of economic and social activities. The main goals of this article were to identify the applicable Industry 4.0 technologies for performing various city logistics (CL) operations, establish smart sustainable CL solutions (SSCL) and rank them in order to identify those which will serve as the base points for future plans and strategies for the development of smart cities. This kind of problem requires involvement of multiple stakeholders with their opposing goals and interests, and thus multiple criteria. For solving it, this article proposed a novel hybrid multi-criteria decision-making (MCDM) model, based on BWM (Best-Worst Method) and CODAS (COmbinative Distance-based ASsessment) methods in grey environment. The results of the model application imply that the potentially best SSCL solution is based on the combination of the concepts of micro-consolidation centres and autonomous vehicles with the support of artificial intelligence and Internet of Things technologies. The main contributions of the article are the definition of original SSCLs, the creation of a framework and definition of criteria for their evaluation and the development of a novel hybrid MCDM model.https://traffic2.fpz.hr/index.php/PROMTT/article/view/87city logisticssmart cityindustry 4.0grey bwmgrey codas |
spellingShingle | Snežana Tadić Mladen Krstić Milovan Kovač Nikolina Brnjac Evaluation of Smart City Logistics Solutions Promet (Zagreb) city logistics smart city industry 4.0 grey bwm grey codas |
title | Evaluation of Smart City Logistics Solutions |
title_full | Evaluation of Smart City Logistics Solutions |
title_fullStr | Evaluation of Smart City Logistics Solutions |
title_full_unstemmed | Evaluation of Smart City Logistics Solutions |
title_short | Evaluation of Smart City Logistics Solutions |
title_sort | evaluation of smart city logistics solutions |
topic | city logistics smart city industry 4.0 grey bwm grey codas |
url | https://traffic2.fpz.hr/index.php/PROMTT/article/view/87 |
work_keys_str_mv | AT snezanatadic evaluationofsmartcitylogisticssolutions AT mladenkrstic evaluationofsmartcitylogisticssolutions AT milovankovac evaluationofsmartcitylogisticssolutions AT nikolinabrnjac evaluationofsmartcitylogisticssolutions |