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Systems
Special Issues
Modeling and Optimization for Resilient and Sustainable Global Supply Chains
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Modeling and Optimization for Resilient and Sustainable Global Supply Chains

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Supply Chain Management".

Deadline for manuscript submissions: 28 February 2027 | Viewed by 1915

Editors

Dr. Jingen Zhou

E-Mail Website
Guest Editor
Department of Operations Management, Supply Chain and Information Systems, KEDGE Business School, 13288 Marseille, France
Interests: maritime; supply chain; transportation; cruise shipping; risk; network
Prof. Dr. Sajjad Jasimuddin

E-Mail Website
Guest Editor
Strategy, Sustainability, and Entrepreneurship, Kedge Business School, 13009 Marseille, France
Interests: knowledge management; strategy; international business
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Modern supply chains are highly complex, and global supply chain networks are facing unprecedented challenges—from volatile demand and disruptive events to the pressing need for sustainability and digital transformation. The effective management of these systems is essential to achieving efficiency, resilience, environmental responsibility, and long-term competitive advantage.

This Special Issue focuses on innovative analytical approaches, mathematical modeling, and advanced techniques that strengthen strategic and operational decision-making across transportation, logistics, and production systems. It encourages contributions that address complex supply chain challenges, sustainability, digital transformation, and the integration of emerging technologies to improve supply chain efficiency, adaptability, and resilience.

Dr. Jingen Zhou
Prof. Dr. Sajjad Jasimuddin
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. Systems is an international peer-reviewed open access monthly 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 chain management
  • transportation
  • logistics
  • resilience
  • sustainability
  • risk management
  • optimization
  • digital transformation
  • emerging technologies
  • and decision support systems

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

Published Papers (2 papers)

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Research

21 pages, 1940 KB  
Article
How Does Cross-Chain Coordination Shape High-Quality Development of Cruise Ship Manufacturing? Evidence from China’s Cruise Port Cities
by Guodong Yan, Lin Zou, Pei Tang and Xin Ju
Systems 2026, 14(5), 489; https://doi.org/10.3390/systems14050489 - 30 Apr 2026
Viewed by 360
Abstract
Cruise ship manufacturing is a high-tech, complex industry where development depends on coordination across stages and organizations. We advance the coordination literature by treating the supply chain, industry chain, and value chain as a complex system, and by linking cross-chain coordination to high-quality [...] Read more.
Cruise ship manufacturing is a high-tech, complex industry where development depends on coordination across stages and organizations. We advance the coordination literature by treating the supply chain, industry chain, and value chain as a complex system, and by linking cross-chain coordination to high-quality development in a way that is comparable to theoretical debates on capability building and productivity-oriented development. Empirically, we collect city-level panel data for ten Chinese cruise port cities from 2008 to 2023 and combine a coupling–coordination framework with a panel data qualitative comparative analysis (PD-QCA) to capture both coordination dynamics and configurational causality. Our results show substantial heterogeneity in coordination trajectories, which can be grouped into decline–recovery, high-level stability, and persistent decline/high-variability patterns. We also show that high coupling does not guarantee high-quality outcomes, which are jointly shaped by industrial foundations, high-end value creation, and innovation capacity. Moreover, we identify two main pathways: an anchoring pathway that depends on output capacity and resource inputs, and an optimizing pathway that mainly relies on investment intensity, demand-side output, and value efficiency, with cross-chain coordination acting as an enabling condition that helps improve cross-chain matching. Full article
(This article belongs to the Special Issue Modeling and Optimization for Resilient and Sustainable Global Supply Chains)
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26 pages, 4461 KB  
Article
A Spatiotemporal Feature-Driven Deep Learning Framework for Fine-Grained Tugboat Operation Recognition
by Xiang Jia, Hongxiang Feng, Manel Grifoll and Qin Lin
Systems 2026, 14(2), 225; https://doi.org/10.3390/systems14020225 - 23 Feb 2026
Cited by 1 | Viewed by 791
Abstract
Accurate perception of tugboat operational status is essential for optimising port scheduling efficiency and ensuring operational safety. However, existing AIS-based methods often struggle to capture the fine-grained and asymmetric manoeuvring characteristics of tugboats, particularly in distinguishing assisted berthing from unberthing operations. To address [...] Read more.
Accurate perception of tugboat operational status is essential for optimising port scheduling efficiency and ensuring operational safety. However, existing AIS-based methods often struggle to capture the fine-grained and asymmetric manoeuvring characteristics of tugboats, particularly in distinguishing assisted berthing from unberthing operations. To address these limitations, this study proposes a hybrid recognition framework integrating multidimensional feature engineering with spatiotemporal dynamics. First, a speed-threshold-based sliding window algorithm segments trajectories into sailing and berthing states. Second, a 15-dimensional feature vector—comprising statistical and descriptive features from speed, heading, and trajectory morphology—is constructed to characterise tugboat behaviour. Notably, morpho-logical descriptors such as the ‘Overlap Ratio’ serve as implicit spatial proxies, capturing geographical constraints without reliance on Electronic Navigational Charts. A three-layer fully connected neural network (FCNN) is then developed to classify segments into “Cruising” and “Assisting in Berthing/Unberthing.” Finally, a speed-dynamics rule further distinguishes berthing from unberthing based on opposing temporal evolution patterns. Experiments on real AIS data from Ningbo–Zhoushan Port demonstrate that the model achieves an F1-score of 0.90 and a recall of 0.93 for assistance-related operations. Permutation importance analysis confirms that integrating kinematic and morphological features enables interpretable and precise intent inference. This study offers a high-precision, low-dependency solution for tugboat operation identification, supporting intelligent port surveillance and sustainable maritime management. Full article
(This article belongs to the Special Issue Modeling and Optimization for Resilient and Sustainable Global Supply Chains)
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