Special Issue 9

Call for Papers

Special Issue of the Journal of Engineering, Project, and Production Management (EPPM-Journal)
Title: Agentic AI-Driven Decision Making in Complex Engineering and Project Environments
Guest Editors: Dr. Sunil Prajapat and Dr. Yi SUN

Focus, Scope, and Rationale

Modern engineering, project, and production environments are increasingly characterized by complexity, uncertainty, and rapid technological change. Traditional decision-making frameworks often struggle to cope with the high dimensionality of data, nonlinear dependencies among project variables, and the need for real-time adaptive responses. Recent advances in Agentic Artificial Intelligence (AI) autonomous, self-directed AI systems capable of reasoning, planning, collaboration, and dynamic adaptation offer a transformative pathway to address these challenges. Agentic AI goes beyond automation or predictive analytics; it integrates cognitive capabilities such as situational awareness, goal decomposition, multi-agent collaboration, and interpretability, enabling intelligent systems to act as decision partners rather than static tools.

In engineering and production systems, Agentic AI can autonomously monitor operations, optimize resource allocation, mitigate risks, support project scheduling, and enhance productivity through continuous learning. In project management domains, these intelligent agents can evaluate trade-offs, negotiate constraints, reduce uncertainties, and support stakeholders through scenario-based reasoning. As industries progress toward Industry 5.0 and human-centric automation, Agentic AI creates a bridge between data-driven intelligence and practical decision-support mechanisms tailored for complex socio-technical systems.

Given EPPM-Journal’s mission to advance cross-disciplinary knowledge across engineering, project, and production management, this Special Issue is timely and highly aligned with the journal’s aim to inspire new thinking by combining diverse approaches. By focusing on Agentic AI’s role in decision-making processes across interconnected industrial environments, the SI intends to provide a unique platform for researchers and practitioners to explore theoretical foundations, applications, and case studies that redefine how intelligent agents transform engineering and project ecosystems. This Special Issue will also complement the journal’s earlier themes on AI-enhanced manufacturing, digital twins, and sustainable development while introducing a forward-looking perspective on autonomy-driven decision-making for complex industrial systems.

Topics of Interest

• Agentic AI architectures for engineering and production decision-making.

• Autonomous multi-agent systems for project planning and coordination.

• AI-driven risk forecasting and mitigation frameworks.

• Intelligent agents for resource optimization in large-scale engineering projects.

• Human-AI collaboration models for project and production environments.

• Reinforcement learning and planning algorithms for dynamic industrial workflows.

• Explainable and trustworthy agentic AI for managerial decision support.

• Agent-based simulation models for complex engineering systems.

• Real-time monitoring and adaptive control using agentic AI.

• AI-driven decision frameworks for sustainable and resilient engineering.

• Swarm intelligence and collective agent behaviors in project execution.

• Agentic AI for supply chain coordination and production scheduling.

• Multi-agent negotiation and conflict resolution in project environments.

• Integration of agentic AI with digital twins, IoT, and cyber-physical systems.

• Case studies and industrial deployments of agentic AI in engineering or production ecosystems.

Important Dates

• Call for Papers Published Online: January 2026

• First Submissions Deadline: July 2026

• First Review Round Completed: August 2026

• Revised Manuscripts Due: September 2026

• Final Notification to Authors: October 2026

• Publication of Special Issue: January 2027

Guest Editors

• Dr. Sunil Prajapat
  Research Fellow, Gachon University, South Korea
  Email: sunilprajapat645@ieee.org

• Dr. Yi SUN
  Associate Professor, Beijing University of Posts and Telecommunications, China
  Email: sybupt@bupt.edu.cn

Contact Information

For inquiries regarding the special issue or manuscript submissions, please contact:
Dr. Sunil Prajapat
Email: sunilprajapat645@ieee.org