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Sustainability of Supply Chain and Logistics System: Opportunities and Challenges

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

Deadline for manuscript submissions: 30 November 2026 | Viewed by 925

Special Issue Editors


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Guest Editor
School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China
Interests: optimization theory and method of low-carbon logistics system; green supply chain network design; vehicle routing problem; multimodal network design; emergency logistics system optimization; robust optimization
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China
Interests: emergency logistics; logistics optimization; port operations; multi-modal transportation; vehicle routing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Traffic & Transportation Engineering, Central South University, Changsha, China
Interests: logistics optimization; port operations; mul-timodal transpor-tation; vehicle routing

Special Issue Information

Dear Colleagues,

“Sustainability of Supply Chain and Logistics System: Opportunities and Challenges” integrates environmental sustainability into traditional logistics and supply chain processes. It focuses on minimizing ecological impacts through eco-friendly practices across the entire product lifecycle, from raw material sourcing to end-of-life disposal. The Special Issue aims at solving the operations research problems arising in sustainable logistics optimization and supply chain management.

Sustainability of Supply Chain and Logistics System aligns closely with the aim and scope of Sustainability by addressing the journal’s multidimensional focus on technical, environmental, cultural, economic, and social sustainability.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Green vehicle routing;
  • Green supply chain network design;
  • Reverse logistics network design;
  • Sustainable biomass collection network design;
  • Green sailing;
  • Green production and scheduling optimization;
  • Sustainable emergency logistics network;
  • Optimization of multimodal network;
  • Distribution optimization of new energy vehicles.

We look forward to receiving your contributions.

Prof. Dr. Dezhi Zhang
Dr. Shuanglin Li
Dr. Xin Wang
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-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

  • green vehicle routing
  • green supply chain network design
  • reverse logistics network design
  • sustainable biomass collection network design
  • green sailing
  • green production and scheduling optimization
  • sustainable emergency logistics network
  • optimization of multimodal network
  • distribution optimization of new energy vehicles

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Published Papers (1 paper)

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Research

42 pages, 5059 KB  
Article
Spatiotemporal Evolution and Influencing Factors of Agricultural Biomass Recycling Efficiency Based on a Three-Stage Super-Efficiency SBM Model
by Shuangyan Li, Yachong Zhang and Yuanhai Xie
Sustainability 2026, 18(6), 3050; https://doi.org/10.3390/su18063050 - 20 Mar 2026
Viewed by 435
Abstract
Agricultural biomass recycling efficiency is central to advancing the green and sustainable transition of agriculture. Drawing on panel data for 30 Chinese provinces from 2019 to 2023, this study measures recycling efficiency using a three-stage super-efficiency SBM model with undesirable output and examines [...] Read more.
Agricultural biomass recycling efficiency is central to advancing the green and sustainable transition of agriculture. Drawing on panel data for 30 Chinese provinces from 2019 to 2023, this study measures recycling efficiency using a three-stage super-efficiency SBM model with undesirable output and examines its determinants with a panel Tobit model. The second-stage SFA indicates that the effects of external conditions on input slacks are input-specific. In particular, GDP is statistically significant only in the biomass-generation slack equation, whereas topographic relief and rural road network density do not show robust associations with any slack measure once controls are included. After removing the influence of environmental factors and random shocks, the overall national level of agricultural biomass recycling efficiency remains moderate. The national mean Stage 3 efficiency decreased from 0.586 in 2019 to 0.427 in 2022 and recovered to 0.543 in 2023. The five-year average was 0.510, which is close to the Stage 1 average of 0.503. Spatial analysis indicates weak global spatial autocorrelation, with only occasional local clustering. The efficiency centroid oscillated during the study period rather than following a one-way migration path, with a total displacement of 70.05 km. The determinant analysis indicates that the number of specialised agricultural machinery has the most stable positive association with recycling efficiency, while other policy, market, and human capital variables do not show robust significance in the short panel. These findings underline the need to align equipment deployment and collection systems with local terrain and transport conditions, expand machinery leasing and service provision, and strengthen capacity building in low-efficiency regions. Establishing a national information sharing and dispatch platform would facilitate cross-regional resource flows and more efficient allocation, while improving local service outlets would make participation more convenient for farmers and reduce transaction costs. Full article
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