Operations Research, Logistics, and Supply Chain Analysis

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 861

Special Issue Editors


E-Mail Website
Guest Editor
School of Economics and Management, University of Electronic Science and Technology of China, Chengdu, China
Interests: operation and supply chain management; service-oriented manufacturing management; service and healthcare management
Special Issues, Collections and Topics in MDPI journals
School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China
Interests: operations management; platform supply chain management; co-opetition
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In an era defined by global disruptions, sustainability imperatives, and digital transformation, the fields of logistics and supply chain management face unprecedented challenges and opportunities. This Special Issue seeks to bridge the gap between advanced analytical techniques and pressing real-world problems. We aim to showcase high-quality, original research that utilizes operations research methodologies—including optimization, stochastic modeling, simulation, and data analytics—to develop innovative solutions for complex logistics and supply chain problems.

We invite contributions that address themes such as low-carbon logistics, platform supply chains, distribution network design, inventory control, operations management–market interface mangement, AI- and machine learning-driven supply chains, etc. Both theoretical advances with clear practical implications and compelling empirical studies are welcome. The goal of this Issue is to provide a platform for disseminating cutting-edge research that not only advances the operations research field but also offers tangible insights for improving the efficiency, sustainability, and robustness of global supply chains.

Prof. Dr. Xu Chen
Dr. Zheng Luo
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. Mathematics 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 2600 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

  • demand forecasting
  • production planning
  • supply chain optimization
  • operations management
  • inventory control
  • distribution network design
  • decision making
  • game theory
  • stochastic optimization
  • robust optimization
  • data-driven approach
  • machine learning
  • optimization algorithm
  • application research

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.

Published Papers (2 papers)

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

Research

22 pages, 1075 KB  
Article
Research on the Evolutionary Game of Interactive Development Between Manufacturing and Logistics Enterprises from the Perspective of Digital Transformation
by Meili Lu and Lingfeng Jia
Mathematics 2026, 14(9), 1497; https://doi.org/10.3390/math14091497 - 29 Apr 2026
Viewed by 94
Abstract
In the process of digital transformation, human capital and data capital are the most critical production factors. This paper innovatively introduces the learning effect, spillover effect, and shock effect, and studies the intrinsic mechanism of the interactive development of manufacturing enterprises and logistics [...] Read more.
In the process of digital transformation, human capital and data capital are the most critical production factors. This paper innovatively introduces the learning effect, spillover effect, and shock effect, and studies the intrinsic mechanism of the interactive development of manufacturing enterprises and logistics enterprises under the background of digital transformation. It establishes an evolutionary game model and uses Matlab simulation software to verify the impact of different parameters on the digital interaction of the two industries. The research results indicate that the cost of digital construction has a negative impact on digital interaction, but there is a reasonable cost-sharing coefficient that increases the probability of interaction between the two parties. The initial willingness to interact, the level of digital technology, the coefficient of learning ability, and the absorption coefficient of data capital all increase the probability of enterprises choosing to participate in digital interaction. Moreover, the level of digital technology, learning ability, and data capital absorption capability accelerate the speed of collaborative evolution under constant returns to scale, there is a critical value for the income elasticity of human capital and data capital, affecting the equilibrium trend of enterprises choosing digital interaction. Digital interaction is advantageous in resisting the impact of external digital technological development. When facing significant external shocks, enterprises are more likely to choose to participate in digital interaction. These conclusions will provide decision-making basis for promoting the deep integration and interaction of the manufacturing and logistics industries. Full article
(This article belongs to the Special Issue Operations Research, Logistics, and Supply Chain Analysis)
19 pages, 1860 KB  
Article
Multi-Objective Intermodal Transport Optimization via Fuzzy AHP and Goal Programming
by Müfide Narlı and Onur Derse
Mathematics 2026, 14(6), 992; https://doi.org/10.3390/math14060992 - 14 Mar 2026
Viewed by 487
Abstract
Logistics centers play a significant role in regional economic growth and development by optimizing logistics chains, minimizing transportation and transfer costs, shortening transit times, and enabling centralized management through support services. Intermodal transportation is an important function that enables goods to be transported [...] Read more.
Logistics centers play a significant role in regional economic growth and development by optimizing logistics chains, minimizing transportation and transfer costs, shortening transit times, and enabling centralized management through support services. Intermodal transportation is an important function that enables goods to be transported efficiently using multiple modes of transport at logistics centers. This study examines 12 operational logistics centers in Türkiye, evaluating five types of transportation: unimodal (highway, railway) and intermodal (highway/railway, highway/airway, and highway/marine). The assessment considers four key criteria (transportation cost, carbon emissions, transportation risk, and transportation time) under various transportation distance and volume scenarios. The Fuzzy AHP method is employed to weight these criteria, and a goal programming model is developed to optimize transport mode selection. Among the evaluated transport modes, air transportation was not selected in any scenario due to its high cost and carbon emissions, aligning with the study’s focus on cost-efficiency and sustainability. The findings provide scenario-based recommendations for the most suitable transportation modes at each logistics center, contributing to more efficient and sustainable logistics operations. Full article
(This article belongs to the Special Issue Operations Research, Logistics, and Supply Chain Analysis)
Show Figures

Figure 1

Back to TopTop