Optimization in Sustainable Transport and Logistics

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 619

Special Issue Editors


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Guest Editor
Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hung Hom, Hong Kong
Interests: maritime transportation; emission reduction; green shipping; multilevel optimization; government policy; liner shipping management; ship deployment
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hung Hom, Hong Kong
Interests: large-scale optimization; decision making under uncertainty; data-driven decision making; green shipping management; smart transportation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the development of the world economy and international trade, the transportation industry has become the artery of modern society. The soaring volume of transportation inevitably leads to the problem of exhaust materials and other byproducts. Given the ever-increasing attention to social welfare, sustainability has been recognized as one of the major concerns in transportation and logistics. This Special Issue will cover a wide range of topics related to this theme, including waste management, vehicle operation, supply chain management, green transportation, green logistics, regulation design, etc.

We are pleased to invite researchers to submit their latest research on the above topics. We are looking for novel, original, and innovative approaches solving relevant problems. Submissions presenting new applications, theoretical results, and new models are welcome.

Dr. Jingwen Qi
Dr. Yiwei Wu
Guest Editors

Manuscript Submission Information

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Keywords

  • mathematical programming
  • combinatorial optimization
  • multilevel optimization
  • regulation design
  • waste management
  • multicriteria decision making
  • vehicle routing
  • green transportation
  • green logistics
  • sustainable supply chain
  • scheduling
  • environmental management

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Published Papers (1 paper)

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Research

18 pages, 3375 KiB  
Article
Module Configuration of Rail Freight Transportation with Both Customer Segmentation and Product Family Genealogy in China
by Weiya Chen, Shiying Tong, Ziyue Yuan and Xiaoping Fang
Mathematics 2024, 12(24), 3947; https://doi.org/10.3390/math12243947 - 15 Dec 2024
Viewed by 379
Abstract
The Chinese government is actively restructuring transportation to shift towards more sustainable rail freight transportation (RFT); however, there is still a lack of more systematic optimization in the whole production chain. This study develops a dual-focus modular configuration approach to explore the integration [...] Read more.
The Chinese government is actively restructuring transportation to shift towards more sustainable rail freight transportation (RFT); however, there is still a lack of more systematic optimization in the whole production chain. This study develops a dual-focus modular configuration approach to explore the integration of customer demand and the production chain to achieve more sustainable operations in RFT. Customers have yielded eleven distinct groups, and operational processes have been segmented into sixteen modules by using the Ant Colony Optimization-based Fuzzy C-Means Clustering (ACOFCM) algorithm. Consequently, a Product Family Genealogy (PFG) model is conducted to identify three tailored product families (i.e., cross-border, multi-modal and general freight product). The developed dual-focus modular configuration approach has been proven to be feasible by utilizing a backtracking algorithm through a case study in an RFT logistics enterprise in China, which provides a standardization and optimization for RFT modular configurations. Full article
(This article belongs to the Special Issue Optimization in Sustainable Transport and Logistics)
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