9th International Conference on Management Science and Industrial Engineering (MSIE 2027)

The 9th International Conference on Management Science and Industrial Engineering (MSIE 2027) examines decision science, sustainable systems, Industry 4.0, data-driven approaches, human-centric management, supply chains, education, ethics, and systems engineering.

Key topics

• 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
• 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
• Interdisciplinary decision science and optimization
  • Hybrid models for decision-making
  • 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
• 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
• 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
• 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
• Big data in quality and reliability engineering and management
  • Deeper insights into products, processes, and systems
  • ML algorithms to identify patterns
  • Life-cycle modelling
  • Quality 5.0 proactive model
  • Innovations in service delivery models
  • Supplier KPIs and organizational quality and reliability goals
• 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
• 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
• Systems engineering and simulation
  • 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