Operations and Supply Chain Management: An International Journal

Special Issue: AI, CPS, and Decision Making in OSCM

We invite submissions to this special issue on Autonomous Cyber-Physical Systems and Decision Making in Operations and Supply Chain Management. Download the call for paper here.

Editors

Call for Submissions

Operations and Supply Chain Management: An International Journal (OSCM Journal) is a rapidly growing, open-access publication that uniquely offers free article processing charges (APCs) to authors. The field of OSCM is undergoing a transformative shift with the integration of autonomous cyber-physical systems and advanced decision-making systems across all decision levels—operational, tactical, and strategic.1 This special issue seeks to explore the innovative applications, challenges, and future directions of autonomous robots and artificial intelligence (AI) in the broad range of OSCM domain, including warehouse operations,2 demand forecasting,3 or customer engagement.4 We invite original research and review papers that contribute to the literature and enhance our understanding of how autonomous cyber-physical systems and AI-based analytics can drive efficiency, sustainability, and resilience in supply chain management.

Topics of interest include, but are not limited to:

  • AI and machine learning for prediction and decision making in operations and supply chains
  • LLMs, LVMs, or other foundational models for operations and supply chain management
  • Autonomous robots in manufacturing, logistics, and supply chain operations
  • Decision support systems and optimization for supply chains resilience and transparency
  • Digital twin and real-time simulation for industry and logistics operation optimization
  • Multi-stakeholder and department-integrated optimization within supply chains
  • Drones, electric vehicles-like technology-based supply chain optimization
  • Case studies on the implementation of autonomous systems in industry settings
  • Ethical, legal, and social implications of autonomous systems in supply chains

Submission Guidelines

Submissions must be original, unpublished, and not currently under review by other journals or peer-reviewed conferences. Papers should adhere to the OSCM Journal’s formatting and submission guidelines.

Important Dates

  • Submission deadline: Nov 30, 2024
  • Notification of Review Results: Dec 31, 2024
  • Revision Due: Jan 31, 2025
  • Final Decision Notification: Feb 28, 2025
  • Publication Date: Mar 30, 2025

Submission Process

Manuscripts should be submitted through the OSCM Journal's online submission system. Please mention “Special Issue: Autonomous Cyber-Physical Systems and Decision Making in OSCM” in your cover letter.

Contact

For any queries, please contact the guest editors at ai-cps-special-issue@oscm-forum.org.

References

  1. Darbanian, F., Brandtner, P., Falatouri, T., & Nasseri, M. (2024). Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review. Operations and Supply Chain Management: An International Journal, 17(1), 1-31.
  2. Demirkiran, Y., & Ozturkoglu, O. (2022). Key performance measures and digital-era technologies in warehouses. Operations And Supply Chain Management, 15(2), 193-204.
  3. Nguyen, T. (2023). Applications of Artificial Intelligence for Demand Forecasting. Operations and Supply Chain Management: An International Journal, 16(4), 424-434.
  4. De Santis, P. R. (2024). Are Chatbots the Key to Success in Customer Service for Logistics Companies? A Statistical Study of 10 of the Most Important Companies in South America. Operations and Supply Chain Management: An International Journal, 17(1), 50-64.
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ISSN: 1979-3561. EISSN: 2579-9363
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