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Smart Logistics and Sustainable Transportation: Last-Mile Delivery, Vehicle Routing, and Crowd-Shipping

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

Deadline for manuscript submissions: closed (1 April 2024) | Viewed by 1215

Special Issue Editors


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Guest Editor
Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, The Netherlands
Interests: city logistics (last mile, urban, etc.); cargo hitching; multi-modal transportation; operations research methods; integer programming; branch-and-price; metaheuristics; artificial intelligence approaches; machine learning methods; reinforcement learning

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Guest Editor
Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey
Interests: mathematical programming and combinatorial optimization; transportation planning and logistics; production and inventory planning; airline crew scheduling

Special Issue Information

Dear Colleagues,

The revenue of online sales has significantly increased in recent years, especially due to the curfews imposed during the COVID-19 pandemic. Even though the pandemic is over, its impact on online shopping and consumer behaviors can still be observed. Recent surveys show that, in the past few years, people have tended to keep the shopping preferences that they developed during the pandemic. The resulting increase in e-commerce delivery operations encourages logistics companies to implement smart applications. Such advanced techniques may help companies improve both the operational efficiency of their last-mile activities and the service level that they provide to their customers.

In parallel to smart logistics, companies have focused on sustainability issues for some time since governments have set ambitious targets aiming for huge reductions (e.g., 90%) in greenhouse gas emissions within twenty years. To meet such targets, companies have been replacing internal combustion engine vehicles with electric vehicles. Even though electric vehicles are cost-effective in the long run and environmentally friendly, their operational limitations (e.g., limited driving range) increase the complexity of delivery operations.

This Special Issue of Sustainability welcomes high-quality papers that focus on recent developments and advances in the theory and application of solution methods proposed for the problems observed within smart logistics and sustainable transportation. Research areas may include (but are not limited to) the following:

  • Vehicle routing problems;
  • Electric vehicle routing problems;
  • Inventory routing problems;
  • Crowd-shipping;
  • Effective solution approaches;
  • Exact methods.

We look forward to receiving your contributions.

Prof. Dr. Tom Van Woensel
Dr. Duygu Taş
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

  • logistics
  • optimization
  • sustainable transportation
  • routing problems

Published Papers (1 paper)

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Research

16 pages, 1810 KiB  
Article
Path Planning of an Electric Vehicle for Logistics Distribution Considering Carbon Emissions and Green Power Trading
by Hao Qiang, Rui Ou, Yanchun Hu, Zhenyu Wu and Xiaohua Zhang
Sustainability 2023, 15(22), 16045; https://doi.org/10.3390/su152216045 - 17 Nov 2023
Cited by 1 | Viewed by 860
Abstract
As environmental awareness continues to grow and government policies provide incentives, electric vehicles (EVs) are becoming more widely used in logistics distribution. Considering green power trading and carbon emissions, this paper addresses the green vehicle routing problem (GVRP) and constructs an electric vehicle [...] Read more.
As environmental awareness continues to grow and government policies provide incentives, electric vehicles (EVs) are becoming more widely used in logistics distribution. Considering green power trading and carbon emissions, this paper addresses the green vehicle routing problem (GVRP) and constructs an electric vehicle path model with time windows to minimize the total cost. To solve the model, a hybrid adaptive genetic algorithm (HAGA) is proposed. An improved nearest-neighbor algorithm is adopted to improve the quality of the initial population, and the adaptive crossover and mutation operators are introduced to achieve the better solution. In addition, based on the Schneider case, HAGA is used to solve the models with and without considering green power trading separately, and the results show that considering green power trading can reduce the total cost by 3.22% and carbon emissions by 23.38 kg. Finally, the experimental simulations further prove that with the increase in case size, HAGA can effectively reduce total cost. And it is beneficial for the popularization of electric vehicles in logistics distribution. Full article
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