Modeling and Simulation Innovations for Advanced Logistics Systems Management

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 61

Special Issue Editors


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Guest Editor
Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Hum 999077, Hong Kong
Interests: maritime cluster analysis; investment decision-making and maritime behavioral analytics

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Guest Editor
School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639789, Singapore
Interests: renewable energy and sustainability; industrial engineering and design; machine-person interoperability; supply chain management; system resilience
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Special Issue Information

Dear Colleagues,

Modern logistics systems have become complex, highly integrated networks requiring sophisticated management strategies to ensure seamless supply chain operations. Modeling and simulation techniques are vital for optimizing logistics systems, enabling better decision-making, efficiency, and resilience in an ever-evolving market. With the rapid advancement of digital twins, predictive analytics, and agent-based modeling technologies, logistics systems managers can now proactively address challenges like demand fluctuations, route optimization, and risk management.

This Special Issue will explore the latest advances in modeling and simulation for logistics systems management, emphasizing applications that enhance adaptability, sustainability, and strategic planning. We welcome contributions that examine innovative methodologies, case studies on real-world implementations, and research tackling the unique logistics modeling challenges. The goal is to provide theoretical insights and practical solutions that can help shape the future of logistics systems management.

Dr. Yusheng Zhou
Dr. Kum Fai Yuen
Guest Editors

Manuscript Submission Information

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Keywords

  • logistics systems modeling
  • supply chain simulation
  • decision support for logistics systems
  • predictive analytics in logistics
  • risk management in logistics

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Published Papers

This special issue is now open for submission.
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