Conference Topics

Central Theme: Industry in the Age of AI

The central theme of IS’26 reflects the growing impact of artificial intelligence on industrial systems, and will be covered through five specialized conference tracks, exploring the latest advancements in industrial engineering and management.

Explore the detailed sub-topics below

  • Production systems design and organization
  • Manufacturing and service processes design
  • Production planning, control and scheduling
  • Industrial systems engineering and technology
  • Simulation and modeling of production systems
  • Performance measurement and optimization
  • Smart factories and digital production systems
  • Cyber-physical production systems (CPPS)
  • Digital twins in manufacturing
  • AI-supported planning, scheduling and optimization
  • Adaptive and reconfigurable production systems
  • Data-driven and autonomous production systems
  • Sustainable and energy-efficient production systems
  • Resilient production systems under uncertainty
  • Circular economy and green manufacturing
  • Human-centered and collaborative production (Industry 5.0)
  • Lean and world-class manufacturing for sustainability
  • AI-enabled condition monitoring and predictive maintenance in production systems
  • Trustworthy and secure data infrastructures for smart manufacturing
  • Industrial Robotics and Advanced Robotic Systems
  • Service, Humanoid and Mobile Robotics
  • Medical, Rehabilitation, and Assistive Robots and Systems
  • Collaborative Robotic Systems
  • Smart and Flexible Devices and Systems
  • Motion Control and Drive Systems
  • Machine Vision and Perception Systems
  • Automatic Identification, Tracking and Traceability Systems
  • Remote Sensing and IoT
  • Augmented and Virtual Reality
  • Smart Environments and Ambient Intelligence
  • Intelligent Systems for Industrial Automation
  • Diagnostics, Condition Monitoring, and Failure Detection in Automation Systems
  • Industrial Communication Networks and OT Cybersecurity
  • Information Systems Engineering and Reengineering
  • Analysis and Design of AI-based Information Systems
  • Database Systems and Software Engineering
  • Information System Integration and Interoperability
  • Video and Modern Communication Systems
  • Ethical and Regulatory Aspects of AI in Industrial Information Systems
  • Information Systems Security
  • CAE/CAD/CAM Systems in Industrial Engineering
  • Software Quality Assurance, Testing and Validation
  • E-Government Systems
  • AI for Process Automation
  • Business Information Systems and Digital Transformation
  • ERP and CAPM Systems and Their Applications
  • Information Management and Enterprise Content Management
  • AI-powered Business Process Integration and Management
  • Artificial Intelligence and Decision Support Systems
  • Data Mining and Machine Learning
  • Big Data and NoSQL
  • Blockchain Technology
  • Last mile delivery
  • Quality and performance management
  • Quality management in smart manufacturing
  • Quality 5.0 – A human-centric approach to quality
  • The role of humans in digitized quality systems
  • Integration of quality into IoT ecosystems
  • Resilient quality systems in an industry 4.0 environment
  • The future of quality and organizational excellence
  • Total quality management
  • Quality and risk management
  • Quality in design and development
  • Quality as a driver of sustainable development
  • ESG requirements and quality management systems
  • Circular economy and quality management
  • Energy efficiency and process quality
  • Sustainable maintenance strategies
  • Organization and management of enterprises
  • Corporate and business strategies in the age of AI
  • Innovation and entrepreneurship management
  • Product and technology management
  • Project management in digital and sustainable environments
  • Program and portfolio management
  • Investment management and techno-economic analysis
  • Risk, safety and resilience management
  • Customer relationship management
  • Logistics and supply chain management
  • Business process management and automation
  • Digital transformation and information management systems
  • Human resource management and future skills
  • People and culture management in the digital age
  • Leadership and change management
  • Sustainable Development, ESG Management and Reporting, Sustainable Finance and Investment
  • Governance, ethics and responsible AI
  • Engineering marketing and corporate communication
  • Media and digital communication management
  • Management of Healthcare Organizations in the Digital Age: AI-Driven Transformation and eHealth Integration