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Advances in Capacitated Vehicle Routing Problem—Models, Methods, Applications and New Challenges: 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 4900

Special Issue Editors

Prof. Dr. Paweł Sitek

E-Mail Website
Guest Editor
Department of Control and Management Systems, Kielce University of Technology, 25-314 Kielce, Poland
Interests: constraint programming; operation research; optimization; decision support; logistics; manufacturing; supply chain management
Special Issues, Collections and Topics in MDPI journals
Dr. Jarosław Wikarek

E-Mail Website
Guest Editor
Department of Electrical Engineering and Computer Science, Kielce University of Technology, Kielce, Poland
Interests: modeling and solving problems with constraints in manufacturing, distribution, logistics, etc.; decision support; optimization; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The capacitated vehicle routing problem (CVRP) is a key to efficient distribution, transportation and supply chain coordination. In broad terms, it deals with the optimal assignment of a set of transportation tasks to a fleet of vehicles and the sequencing of stops for each vehicle. Currently, due to the development of means of transport, the concept of a vehicle is much broader (AVG, UAV, EV, etc.). The CVRP has a large number of real-life applications and comes in many variants, depending on the type of task, the objective, the time frames and the types of constraints that must be met. The CVRP is a computationally hard discrete optimization problem. Outside of transportation, logistics and supply chains, the CVRP has less intuitive but still important applications, e.g., in robotics and manufacturing.

For this Special Issue titled “Advances in Capacitated Vehicle Routing Problem—Models, Methods, Applications and New Challenges”, we invite authors to submit articles that take up the discussion and present solutions in the field of models, methods, applications and new challenges for the CVRP.

Prof. Dr. Paweł Sitek
Dr. Jarosław Wikarek
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. Applied Sciences 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

  • supply chains
  • urban transportation
  • last-mile logistics
  • allocation of resources
  • multi-modal processes
  • AI-driven approach to modeling and solving CVRP
  • UAV fleet routing and scheduling
  • milk-run systems
  • dynamic routing and scheduling
  • fuzzy CVRP
  • production routing

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Published Papers (3 papers)

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Research

18 pages, 1389 KiB  
Article
The Classification of Work and Offenses of Professional Drivers from Slovakia and the Czech Republic
by Milos Poliak, Jan Benus, Jaroslav Mazanec and Mikulas Cerny
Appl. Sci. 2024, 14(7), 3000; https://doi.org/10.3390/app14073000 - 3 Apr 2024
Viewed by 923
Abstract
To achieve the elimination of the negative impacts of transport on road safety, the European Union is taking various measures resulting from its commitment to improve road safety. The main objective of this paper is to assess the impact of social legislation on [...] Read more.
To achieve the elimination of the negative impacts of transport on road safety, the European Union is taking various measures resulting from its commitment to improve road safety. The main objective of this paper is to assess the impact of social legislation on road transport safety using real research and to identify the factors influencing the violation of the legislation depending on the type of transport carried out in domestic or international road freight transport. Answers from the respondents are used in the segmentation of truck drivers based on input data describing the factors influencing the violation of traffic rules. Two-step cluster analysis is a suitable method for the segmentation of truck drivers based on input data. These data are obtained through a questionnaire from a total of 472 Czech and Slovak truck drivers. The results show that the optimal number of types of truck drivers with different characteristics is four. All of the clusters are described and compared. The majority of truck drivers do not violate social legislation for several reasons, such as traffic accidents (almost 67%), complications in meeting the loading or unloading deadline (less than 88%), poorly planned transport routes (more than 90%) and driving home (almost 80%). Full article
(This article belongs to the Special Issue Advances in Capacitated Vehicle Routing Problem—Models, Methods, Applications and New Challenges: 2nd Edition)
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16 pages, 1240 KiB  
Article
Dynamic Reactive Assignment of Tasks in Real-Time Automated Guided Vehicle Environments with Potential Interruptions
by Xabier A. Martin, Sara Hatami, Laura Calvet, Mohammad Peyman and Angel A. Juan
Appl. Sci. 2023, 13(6), 3708; https://doi.org/10.3390/app13063708 - 14 Mar 2023
Cited by 4 | Viewed by 1915
Abstract
An efficient management of production plants has to consider several external and internal factors, such as potential interruptions of the ongoing processes. Automated guided vehicles (AGVs) are becoming a widespread technology that offers many advantages. These AGVs can perform complex tasks in an [...] Read more.
An efficient management of production plants has to consider several external and internal factors, such as potential interruptions of the ongoing processes. Automated guided vehicles (AGVs) are becoming a widespread technology that offers many advantages. These AGVs can perform complex tasks in an autonomous way. However, an inefficient schedule of the tasks assigned to an AGV can suffer from unwanted interruptions and idle times, which in turn will affect the total time required by the AGV to complete its assigned tasks. In order to avoid these issues, this paper proposes a heuristic-based approach that: (i) makes use of a delay matrix to estimate circuit delays for different daily times; (ii) employs these estimates to define an initial itinerary of tasks for an AGV; and (iii) dynamically adjusts the initial agenda as new information on actual delays is obtained by the system. The objective is to minimize the total time required for the AGV to complete all the assigned tasks, taking into account situations that generate unexpected disruptions along the circuits that the AGV follows. In order to test and validate the proposed approach, a series of computational experiments utilizing real-life data are carried out. These experiments allow us to measure the improvement gap with respect to the former policy used by the system managers. Full article
(This article belongs to the Special Issue Advances in Capacitated Vehicle Routing Problem—Models, Methods, Applications and New Challenges: 2nd Edition)
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21 pages, 1068 KiB  
Article
Dual-Sourcing Inventory Routing Problem with Route-Dependent Lead Times in Rolling Horizon Framework
by Weibo Zheng and Hong Zhou
Appl. Sci. 2023, 13(4), 2229; https://doi.org/10.3390/app13042229 - 9 Feb 2023
Viewed by 1544
Abstract
Traditional inventory routing problems ignore the time consumption in transportation. In this paper, an inventory routing problem with air–land transportation and route-dependent lead times is studied. The model is based on the rolling horizon framework which can serve as a “here-and-now” approximation for [...] Read more.
Traditional inventory routing problems ignore the time consumption in transportation. In this paper, an inventory routing problem with air–land transportation and route-dependent lead times is studied. The model is based on the rolling horizon framework which can serve as a “here-and-now” approximation for multi-period inventory routing problems. A planning horizon crossing strategy is proposed to consider the effect of the single-period decision on long-term planning. The box uncertainty set is used to depict demands. A tractable closed-form robust solution for optimal replenishment quantity is derived. An adaptive variable neighborhood search algorithm is developed for this problem. A novel shaking phase is proposed, and the performance of shaking operators is evaluated in numerical experiments. Results also validate the effectiveness of the robust solution and the planning horizon crossing strategy. Full article
(This article belongs to the Special Issue Advances in Capacitated Vehicle Routing Problem—Models, Methods, Applications and New Challenges: 2nd Edition)
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