Computation and Optimization for Emerging Topics in Operations and Supply Chain Management
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: 28 February 2026 | Viewed by 39
Special Issue Editors
Interests: supply chain management; (behavior) operations management
Interests: sustainable operations management; platform-based operations management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In an era marked by geopolitical volatility, sustainability mandates, and rapid technological advancements, the intersection of computation, optimization, and supply chain management faces unprecedented challenges. Traditional operations research (OR) methodologies, while foundational, often struggle to address the dynamic, data-intensive, and interconnected nature of modern supply chains. Emerging technologies—such as artificial intelligence (AI), blockchain, and decentralized systems—are reshaping decision-making paradigms, demanding innovative computational and optimization approaches to enhance resilience, transparency, and adaptability across global networks.
This Special Issue invites cutting-edge research at the nexus of computational optimization and emerging supply chain challenges, leveraging advanced analytics, machine learning, and novel algorithmic frameworks to address critical issues such as behavioral operations research in human-system interactions, data-driven optimization for predictive and prescriptive analytics, AI/ML applications in demand forecasting, automation, and hybrid decision-making, blockchain-enabled solutions for traceability, trust, and decentralized coordination, smart logistics with IoT, autonomous systems, and real-time optimization, as well as sustainable supply chain optimization that balances efficiency with environmental and social impact. We welcome submissions spanning theoretical advances, computational models, or optimization methods, with a focus on scalable, efficient, and actionable solutions for academia and industry.
Prof. Dr. Tengfei Nie
Prof. Dr. Zhaofu Hong
Guest Editors
Dr. Zhongwei Chen
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- behavioral operations research and supply chain management
- data-driven operations research and supply chain management
- platform-based supply chain management
- artificial intelligence in operations research and supply chain management
- human-ai collaborative in operations management
- blockchain-enabled supply chain management
- smart supply chain and intelligent logistics
- global supply chain management
- sustainable operations research and supply chain management
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