Data-Driven Industrial Engineering for Sustainable Transportation and Logistics
DETAILS
CALL FOR PAPERS
Data-Driven Industrial Engineering for Sustainable Transportation and Logistics
Journal: Transportation Research Part E: Logistics and Transportation Review
Publisher: Elsevier
Submission Deadline: 31 December 2026
Introduction
Transportation and logistics systems are undergoing a profound transformation — driven by sustainability imperatives, digital innovation, and the urgent need for resilience. Global challenges including decarbonization, supply chain disruptions, evolving customer expectations, and rapid technological advancements are reshaping the design, management, and evaluation of logistics operations across global freight networks, urban and last-mile delivery systems, retail distribution, manufacturing logistics, and humanitarian supply chains.
To respond effectively, logistics systems must become smarter, more adaptive, and deeply integrated with industrial engineering methods and data-driven technologies. Emerging tools such as artificial intelligence (AI), machine learning (ML), digital twins, and IoT-enabled systems offer opportunities for real-time decision-making, predictive analytics, and sustainable operations. Industrial engineering principles — including optimization, simulation, human factors, and systems integration — play a crucial role in translating these technologies into practical, actionable solutions.
Scope & Significance
This Special Issue treats industrial engineering methods as methodological enablers — with their outputs directed toward sustainable logistics, circular economy practices, resilient supply chains, and humanitarian logistics. It bridges industrial engineering and transportation research — emphasizing data-driven, sustainability-oriented innovations that transform logistics and supply chains.
Submissions should demonstrate methodological rigor while providing actionable insights for managers and policymakers — making theoretical, methodological, and practical contributions to sustainable transportation and logistics.
List of Topic Areas
Manuscripts are invited on themes including, but not limited to:
AI, machine learning, and big data analytics for optimizing freight and passenger flows
Digital twin-enabled planning and simulation for smart ports, warehouses, and last-mile delivery systems
IoT-driven predictive maintenance and reliability modeling of transportation assets
Real-time decision support systems for dynamic routing and scheduling
Generative AI for logistics innovation and decision support
AI security, robustness, and trustworthiness in transportation systems
Synchronizing production systems, internal logistics, and external transportation networks for sustainability and efficiency
Human-centric logistics and behavioral modeling of transportation operators and consumers
Industrial engineering methods for optimizing facility layout, inventory control, and material handling in sustainable supply chains
Leveraging industrial engineering techniques to support digital innovation in sustainable logistics and circular economy initiatives
Green transportation strategies and decarbonization of logistics networks
Reverse logistics and circular economy models for waste reduction and product reuse
ESG measurement and sustainability performance evaluation in transportation and logistics
Sustainable logistics through human-centric AI and digitalization
AI-driven strategies for logistics antifragility and viability
Data-driven disruption management, predictive risk modeling, and strategies for resilient and adaptive supply chains
Guest Editors
Dr. Masood Fathi University of Skövde & Uppsala University, Sweden Email: masood.fathi@his.se
Dr. Taha Arbaoui Institut National des Sciences Appliquées (INSA), Lyon, France Email: taha.arbaoui@insa-lyon.fr
Prof. Daria Battini University of Padua, Italy Email: daria.battini@unipd.it
Prof. Alexandre Dolgui IMT Atlantique, France Email: alexandre.dolgui@imt-atlantique.fr
Prof. Khaled Hadj-Hamou Institut National des Sciences Appliquées (INSA), Lyon, France Email: khaled.hadj-hamou@insa-lyon.fr
Key Deadlines
Manuscript Submission Deadline: 31 December 2026
Submission Guidelines
Submission process and papers must adhere to the standard author guidelines of Transportation Research Part E: Logistics and Transportation Review.
All submissions to this Special Issue should be submitted via the Transportation Research Part E online submission system. When submitting your paper, select Article Type:
"VSI: CIE52"
All submissions must be original and must not have been previously published or currently submitted for publication elsewhere.
For author guidelines, visit the official Transportation Research Part E journal page on the Elsevier ScienceDirect website.
About the Journal
Transportation Research Part E: Logistics and Transportation Review, published by Elsevier, is a leading international peer-reviewed journal with a CiteScore of 15.0 and Impact Factor of 8.8. It supports open access publishing and is dedicated to advancing research on logistics and transportation systems — providing a global platform for interdisciplinary scholarship exploring supply chain management, freight systems, urban logistics, and the integration of digital technologies into transportation and logistics operations.
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