applsci-logo

Journal Browser

Journal Browser

Advances in Intelligent Logistics System and Supply Chain Management, 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 March 2026) | Viewed by 2813

Editors


E-Mail Website
Guest Editor
Department of Supply Chain Management, International Hellenic University, 60100 Katerini, Greece
Interests: reverse logistics; supply chain management; optimization techniques
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Supply Chain Management, International Hellenic University, 60100 Katerini, Greece
Interests: reverse logistics; circular economy; environmental engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to explore and showcase the latest developments, innovations, and advancements in the fields of intelligent logistics systems and supply chain management. Topics of interest include, but are not limited to, artificial intelligence applications, robotics, data analytics, automation, optimization techniques, and emerging technologies that contribute to enhancing the efficiency, resilience, and sustainability of logistics and supply chain operations. The scope of this Special Issue encompasses research articles, case studies, and reviews that provide valuable insights into the integration of intelligent systems to address challenges and foster improvements in logistics and supply chain management.

Dr. Dimitrios Aidonis
Dr. Charisios Achillas
Dr. Ioannis Kostavelis
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • artificial intelligence applications
  • robotics
  • logistics
  • supply chain management

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

18 pages, 1485 KB  
Article
A Sustainable Packaging Logistics Framework for Reducing Greenhouse Gas Emissions in Food Supply Chains
by Kostantinos Verros, Thomas Mantzou and Stella Despoudi
Appl. Sci. 2026, 16(3), 1274; https://doi.org/10.3390/app16031274 - 27 Jan 2026
Cited by 1 | Viewed by 2352
Abstract
Packaging is a fundamental component of food supply chains, enabling product protection, handling, and distribution from production to final consumption. In this context, the selection of secondary and tertiary packaging dimensions plays a critical role in improving logistics efficiency and reducing greenhouse gas [...] Read more.
Packaging is a fundamental component of food supply chains, enabling product protection, handling, and distribution from production to final consumption. In this context, the selection of secondary and tertiary packaging dimensions plays a critical role in improving logistics efficiency and reducing greenhouse gas (GHG) emissions associated with material use and transportation. This study proposes a sustainable packaging logistics (SPL) framework that systematically evaluates and optimizes packaging carton dimensions to enhance pallet utilization, transport efficiency, and packaging material efficiency. The framework is applied to a real-world case study from a meat processing company, demonstrating how alternative carton dimension configurations, while maintaining a constant product weight and functional equivalence, can significantly influence pallet-loading efficiency, transported payload, and associated CO2-equivalent emissions. Rather than constituting a full life cycle assessment (LCA), the proposed approach adopts LCA-informed indicators to quantify material and transport related emission implications of packaging design choices. By integrating packaging design, palletization constraints, and logistics performance, the SPL framework provides a structured analytical basis for identifying packaging configurations that reduce material intensity and transport-related emissions. The results highlight the importance of packaging dimension optimization as a practical and scalable strategy for emission reduction in food supply chains. The proposed framework is intended to support decision-making in packaging design and to serve as a robust preparatory tool for future, more comprehensive LCA studies. Full article
Show Figures

Figure 1

Back to TopTop