Volume 16 / Number 4 / October 2026

Call for Papers

Special Issue of the International Journal of Engineering, Project, and Production Management (EPPM-Journal)
Title: Intelligent Algorithms and Data-Driven Decision-Making for Innovation Management and Production Systems
Lead Guest Editor: Dr. Zhenling Liu (drling.liuzl@gmail.com)

Aims and Scope

This special issue of the Journal of Engineering, Project, and Production Management (EPPM-Journal) investigates the innovation impact of Artificial Intelligence (AI), Machine Learning (ML), and advanced computational algorithms on decision-making processes across engineering management, project management, and production management. As organizations navigate increasingly complex and data-rich environments, traditional management paradigms are being revolutionized by data-driven insights and intelligent automation.

This issue seeks to bridge the gap between computational sciences and social sciences (e.g., economics, organizational behavior, logistics, educational management) by exploring how these technologies enhance operational efficiency, strategic planning, risk mitigation, and sustainable practices in businesses, supply chains, educational institutions, and industrial systems. We welcome high-quality original research that presents theoretical frameworks, novel methodologies, empirical case studies, and critical reviews that demonstrate the synergy between intelligent algorithms and managerial decision-making.

Topics of Interest

Submissions are encouraged, but not limited, to the following themes:

1. AI-Driven Optimization in Logistics, Supply Chain, and Production

- Application of metaheuristic algorithms (e.g., GA, PSO) and reinforcement learning (e.g., Q-learning) for supply chain network design and logistics route optimization.

- Intelligent scheduling and resource allocation in project and production management.

- Multi-agent systems and swarm intelligence for collaborative manufacturing and supply chain coordination.

- Predictive analytics for inventory management, demand forecasting, and warehouse operations.

- Case studies on autonomous systems (e.g., unmanned delivery vehicles) in last-mile logistics.

2. Data-Centric Risk Management and Economic Analysis

- Deep learning models for predicting financial, operational, and environmental risks in digital economies.

- Blockchain-based frameworks for enhancing security, transparency, and trust in e-commerce and enterprise operations.

- Big data analytics (e.g., association rule mining like FP-Growth, correlation analysis) for identifying critical factors in international economic development.

- AI-powered environmental risk assessment and ecological efficiency evaluation in manufacturing sectors.

- Robust decision-making models for uncertain and volatile market environments.

3. Intelligent Information Systems for Knowledge Management and Consumer Analytics

- Cross-modal retrieval systems (e.g., hashing models) for managing and retrieving multimedia resources in enterprise knowledge bases.

- Knowledge graphs and graph neural networks for optimizing complex production processes and product lifecycle management.

- Deep learning-based recommender systems for personalized services in e-commerce and digital platforms.

- AI-driven models for predicting and understanding consumer behavior in international markets.

- Natural Language Processing (NLP) for analyzing customer feedback and enhancing service quality.

4. Human-Centric AI, Educational Management, and Organizational Adoption

- AI in educational management: Data-driven strategies for curriculum optimization, resource allocation, and institutional performance forecasting.

- Intelligent systems for enhancing learning outcomes and personalizing educational projects.

- Strategies for developing managerial competencies and workforce skills for data-driven decision-making.

- Assessing the organizational and societal impact of integrating AI into traditional management practices.

- Pedagogical innovations for teaching AI and data science in engineering and management education.

- Studies on the ethical implications, trust, and acceptance of AI recommendations by human managers.

- Change management frameworks for digital transformation in enterprises and SMEs.

Important Dates

- Manuscript submission deadline: February 28, 2026

- Notification of acceptance: April 30, 2026

- Submission of final revised papers: June 30, 2026

- Publication of the special issue: Volume 16, Number 4, October 2026

Guest Editor

Zhenling Liu, Ph.D.
Henan University of Technology, China
Visiting Scholar in Winona State University, U.S.
ORCID: https://orcid.org/0000-0002-4033-8941
Email: drling.liuzl@gmail.com

Contact Information

For inquiries regarding the special issue or manuscript submissions, please contact:
Dr. Zhenling Liu
Email: drling.liuzl@gmail.com