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Sustainability
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Decision Aid Sciences and Applications for Green Logistics and Transportation
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Decision Aid Sciences and Applications for Green Logistics and Transportation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 1746

Special Issue Editors

Prof. Dr. Fouad Ben Abdelaziz

E-Mail Website
Guest Editor
NEOMA Business School, Rouen Campus, 76130 Mont-Saint-Aignan, France
Interests: supply chain management; multiple criteria decision making; transportation; green logistics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hatem Masri

E-Mail Website
Guest Editor
College of Business Administration, University of Bahrain, Sakhir P.O. Box 32038, Bahrain
Interests: multiple criteria decision aid; transportation; sustainable islamic business and finance

Special Issue Information

Dear Colleagues,

Decision Aid models were used in various fields and among them green logistics and transportation. Green logistics follows classical logistics rules considering the impact on the environment. It includes strategy, planning, transport, procurement, production, sales, recycling and real estate logistics. Focusing on environmental aspects in green supply chain management will require attention to be paid to additional criteria (Multiple Criteria Decision Aid) as well as to deal with uncertainties (stochastic, fuzzy, etc.). In addition, decision models should consider different information and data to minimize the negative impact on the environment.

This Special Issue aims to provide a venue for researchers to publish advanced decision models and discuss state-of-the-art research on green logistics and transportation.

In this Special Issue, original research articles and reviews are welcome. Research may include (but is not limited to) decision aid models in one of the following areas:

  • Green supply chain management;
  • Green procurement;
  • Green production;
  • Green transportation;
  • Green distribution;
  • Green packaging;
  • Technologies in green logistics;
  • Marketing in green logistics;
  • Eco-logistics;
  • Economic aspects of in green logistics;
  • Sustainable logistics applications.

We look forward to receiving your contributions.

Prof. Dr. Fouad Ben Abdelaziz
Prof. Dr. Hatem Masri
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • decision aid
  • green logistics
  • green transportation

Published Papers (2 papers)

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Research

26 pages, 4431 KiB  
Article
Consideration of Carbon Emissions in Multi-Trip Delivery Optimization of Unmanned Vehicles
by Xinhua Gao, Song Liu, Yan Wang, Dennis Z. Yu, Yong Peng and Xianting Ma
Sustainability 2024, 16(6), 2357; https://doi.org/10.3390/su16062357 - 12 Mar 2024
Viewed by 580
Abstract
In order to achieve the goal of low-carbon, efficient delivery using unmanned vehicles, a multi-objective optimization model considering carbon emissions in the problem of optimizing multi-route delivery for unmanned vehicles is proposed. An improved genetic algorithm (IGA) is designed for solving this problem. [...] Read more.
In order to achieve the goal of low-carbon, efficient delivery using unmanned vehicles, a multi-objective optimization model considering carbon emissions in the problem of optimizing multi-route delivery for unmanned vehicles is proposed. An improved genetic algorithm (IGA) is designed for solving this problem. This study takes into account constraints such as the maximum service duration for delivery, the number of vehicles, and the approved loading capacity of the vehicles, with the objective of minimizing the startup cost, transportation cost, fuel cost, and environmental cost in terms of the carbon dioxide emissions of unmanned vehicles. A combination encoding method based on the integer of the number of trips, the number of vehicles, and the number of customers is used. The inclusion of a simulated annealing algorithm and an elite selection strategy in the design of the IGA enhances the quality and efficiency of the algorithm. The international dataset Solomon RC 208 is used to verify the effectiveness of the model and the algorithm in small-, medium-, and large-scale cases by comparing them with the genetic algorithm (GA) and simulated annealing algorithm (SA). The research results show that the proposed model is applicable to the problem of optimizing the multi-route delivery of unmanned vehicles while considering carbon emissions. Compared with the GA and SA, the IGA demonstrates faster convergence speed and higher optimization efficiency. Additionally, as the problem’s scale increases, the average total cost deviation rate changes significantly, and better delivery solutions for unmanned vehicles are obtained with the IGA. Furthermore, the selection of delivery routes for unmanned vehicles primarily depends on their startup costs and transportation distance, and the choice of different vehicle types has an impact on delivery duration, total distance, and the average number of trips. The delivery strategy that considers carbon emissions shows a 22.6% difference in its total cost compared to the strategy that does not consider carbon emissions. The model and algorithms proposed in this study provide optimization solutions for achieving low-carbon and efficient delivery using unmanned vehicles, aiming to reduce their environmental impact and costs. They also contribute to the development and application of unmanned vehicle technology in the delivery field. Full article
(This article belongs to the Special Issue Decision Aid Sciences and Applications for Green Logistics and Transportation)
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22 pages, 5574 KiB  
Article
Comparing Power Supply Technologies for Public Transport Buses through the AHP and the Fuzzy DEMATEL Method
by Caterina Caramuta, Giovanni Longo, Elio Padoano and Maria Vesela
Sustainability 2023, 15(23), 16190; https://doi.org/10.3390/su152316190 - 22 Nov 2023
Cited by 1 | Viewed by 677
Abstract
The selection of power supply technology for buses is a critical task given the increasing attention paid to environmental sustainability in the public transport sector. Indeed, the compliance of vehicle operational requirements with service characteristics is essential to provide users with an efficient [...] Read more.
The selection of power supply technology for buses is a critical task given the increasing attention paid to environmental sustainability in the public transport sector. Indeed, the compliance of vehicle operational requirements with service characteristics is essential to provide users with an efficient offer. To this end, this study investigates the factors affecting such choices by performing two evaluation procedures, with the integration of different techniques and the engagement of an expert panel. The Analytic Hierarchy Process (AHP) method was used to identify the best power supply technology among a few solutions in both procedures, which differed in the number of analyzed criteria. A literature review suggested a wide set of criteria considered in the first assessment, which were then limited to the most influential criteria using the fuzzy DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) method. Notably, the latter enabled the reduction in the number of the criteria owing to the revealing of cause–effect relationships among them. The methodology was applied to a case study in the city of Trieste, Italy, comparing rankings obtained from the two appraisal procedures, which showed the predominance of internal combustion engine buses over hybrid and electric buses in terms of operational and financial aspects, despite their environmental impact. Full article
(This article belongs to the Special Issue Decision Aid Sciences and Applications for Green Logistics and Transportation)
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