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Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

BACKGROUND: Last-mile delivery (LMD) is becoming more and more demanding due to an increasing number of users and traffic problems in cities. Besides, medical crises (like the COVID-19 outbreak) and air pollution represent additional motives for the transition from traditional to socially and enviro...

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Autores principales: Simić, Vladimir, Lazarević, Dragan, Dobrodolac, Momčilo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323095/
http://dx.doi.org/10.1186/s12544-021-00501-6
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author Simić, Vladimir
Lazarević, Dragan
Dobrodolac, Momčilo
author_facet Simić, Vladimir
Lazarević, Dragan
Dobrodolac, Momčilo
author_sort Simić, Vladimir
collection PubMed
description BACKGROUND: Last-mile delivery (LMD) is becoming more and more demanding due to an increasing number of users and traffic problems in cities. Besides, medical crises (like the COVID-19 outbreak) and air pollution represent additional motives for the transition from traditional to socially and environmentally sustainable LMD mode. An emerging problem for companies in the postal and logistics industry is how to determine the best LMD mode in a multi-criteria setting under uncertainty. METHOD: For the first time, an extension of the Weighted Aggregated Sum Product ASsessment (WASPAS) method under the picture fuzzy environment is presented to solve the LMD mode selection problem. The introduced picture fuzzy set (PFS) based multi-criteria decision-making (MCDM) method can be highly beneficial to managers who are in charge of LMD since it can take into account the neutral/refusal information and efficiently deal with high levels of imprecise, vague, and uncertain information. The comparative analysis with the existing state-of-the-art PFS-based MCDM methods approved the high reliability of the proposed picture fuzzy WASPAS method. Its high robustness and consistency are also confirmed. The presented method can be used to improve LMD in urban areas worldwide. Besides, it can be applied to solve other emerging MCDM problems in an uncertain environment. FINDINGS: A real-life case study of Belgrade is presented to fully illustrate the potentials and applicability of the picture fuzzy WASPAS method. The results show that postomates are the best mode for LMD in Belgrade, followed by cargo bicycles, drones, traditional delivery, autonomous vehicles, and tube transport. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12544-021-00501-6.
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spelling pubmed-83230952021-07-30 Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade Simić, Vladimir Lazarević, Dragan Dobrodolac, Momčilo Eur. Transp. Res. Rev. Original Paper BACKGROUND: Last-mile delivery (LMD) is becoming more and more demanding due to an increasing number of users and traffic problems in cities. Besides, medical crises (like the COVID-19 outbreak) and air pollution represent additional motives for the transition from traditional to socially and environmentally sustainable LMD mode. An emerging problem for companies in the postal and logistics industry is how to determine the best LMD mode in a multi-criteria setting under uncertainty. METHOD: For the first time, an extension of the Weighted Aggregated Sum Product ASsessment (WASPAS) method under the picture fuzzy environment is presented to solve the LMD mode selection problem. The introduced picture fuzzy set (PFS) based multi-criteria decision-making (MCDM) method can be highly beneficial to managers who are in charge of LMD since it can take into account the neutral/refusal information and efficiently deal with high levels of imprecise, vague, and uncertain information. The comparative analysis with the existing state-of-the-art PFS-based MCDM methods approved the high reliability of the proposed picture fuzzy WASPAS method. Its high robustness and consistency are also confirmed. The presented method can be used to improve LMD in urban areas worldwide. Besides, it can be applied to solve other emerging MCDM problems in an uncertain environment. FINDINGS: A real-life case study of Belgrade is presented to fully illustrate the potentials and applicability of the picture fuzzy WASPAS method. The results show that postomates are the best mode for LMD in Belgrade, followed by cargo bicycles, drones, traditional delivery, autonomous vehicles, and tube transport. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12544-021-00501-6. Springer International Publishing 2021-07-30 2021 /pmc/articles/PMC8323095/ http://dx.doi.org/10.1186/s12544-021-00501-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Simić, Vladimir
Lazarević, Dragan
Dobrodolac, Momčilo
Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade
title Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade
title_full Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade
title_fullStr Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade
title_full_unstemmed Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade
title_short Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade
title_sort picture fuzzy waspas method for selecting last-mile delivery mode: a case study of belgrade
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323095/
http://dx.doi.org/10.1186/s12544-021-00501-6
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