The 2026 8th International Conference on Management Science and Industrial Engineering (MSIE 2026) invites high-quality submissions that explore innovative, interdisciplinary, and transdisciplinary approaches to addressing complex challenges at the intersection of management science, industrial engineering, and beyond. Topics of interest include, but are not limited to:

1. Interdisciplinary Decision Science and Optimization

Hybrid Models for Decision-Making: Combining Operations Research, Behavioral Science, and AI
Multi-Criteria Decision Analysis for Complex Systems
Computational and Simulation-Based Approaches in Risk and Crisis Management
Human-AI Collaboration for Strategic and Tactical Decision-Making

2. Sustainable and Resilient Systems

Circular Economy and Sustainable Industrial Operations
Transdisciplinary Approaches to Achieving Net-Zero Emissions in Industrial Systems
Resilient Supply Chain Networks in the Face of Global Disruptions
Systems Thinking and Integrated Modeling for Sustainability

3. Industry 4.0 and Smart Systems

AI, IoT, and Blockchain for Smart Manufacturing and Logistics
Digital Twins and Cyber-Physical Systems in Industry 4.0
Autonomous Systems and Robotics in Industrial Applications
Ethical and Human-Centric Automation for Future Workplaces

4. Data-Driven and Computational Approaches

Big Data Analytics and Predictive Modeling in Management Science
Machine Learning and AI for Operations Optimization
Quantum Computing Applications in Management and Industrial Systems
Cross-Disciplinary Applications of Data Science in Industrial Innovation

5. Human-Centric Management and Engineering

Integrating Psychology, Sociology, and Engineering in Workforce Optimization
Ergonomics and Human Factors for Productivity and Well-Being
Managing Diversity and Inclusion in AI-Driven Workplaces
The Future of Work: Hybrid Work Models and Virtual Collaboration

6. Innovation in Supply Chain and Logistics

Blockchain-Driven Supply Chain Transparency and Efficiency
AI-Optimized Logistics in Global and Regional Contexts
Sustainable Logistics and Green Transportation Networks
Risk Management in Dynamic and Uncertain Supply Chains

7. Education and Knowledge Management in Industrial Engineering

Innovative Pedagogies for Interdisciplinary Engineering Education
Cross-Functional Knowledge Management and Organizational Learning
AI and Virtual Reality for Workforce Training and Skill Development

8. Ethics, Society, and Policy

Ethical Implications of AI and Automation in Industrial and Management Practices
Policy Frameworks for Sustainable Industrial Development
Social Responsibility in Industrial Engineering and Management Systems
Bridging the Gap Between Policy, Technology, and Society

9. Big Data in Quality and Reliability Engineering and Management

Deeper Insights into Products, Processes, and Systems
ML Algorithms to Identify Patterns
Life-cycle Modelling
Moving from Reactive Quality Control to Quality 5.0 Proactive Model
Innovations in Service Delivery Models
Aligning Supplier KPIs with Organizational Quality and Reliability Goals

10. Systems Engineering and Simulation Track

Cognitive Systems Architecture and Design
Energy Systems and Sustainability Simulations
IoT-enabled Smart City Systems
System Dynamics Modelling for Defence Systems
Trade-off Analysis for Complex System Design

Special Sessions and Tracks

Authors are also encouraged to submit proposals for special sessions that tackle emerging transdisciplinary challenges or focus on case studies and applications that span multiple disciplines.