Call For Papers

The topics of interest for submission include, but are not limited to:

📚︎Track 1:Intelligent Manufacturing and Operations Optimization

  • ·Smart manufacturing systems and architectures

  • ·Cyber-physical systems in manufacturing

  • ·Industrial internet and intelligent operations

  • ·Production planning and scheduling

  • ·Process optimization and control

  • ·Quality management and operational excellence

  • ·Digital twins for manufacturing and operations

  • ·Human-machine collaboration in intelligent manufacturing

  • ·Predictive maintenance and reliability engineering

  • ·Real-time decision support in manufacturing systems


📚︎Track 2:Digital Supply Chain and Logistics Management

  • ·Digital supply chain design and management

  • ·Supply chain visibility, traceability, and transparency

  • ·Logistics network optimization

  • ·Smart warehousing and inventory management

  • ·Last-mile delivery and urban logistics

  • ·Omni-channel logistics and e-commerce operations

  • ·Supply chain analytics and demand forecasting

  • ·Logistics digitalization and platform-based operations

  • ·Supply chain risk management and resilience

  • ·Cold chain, reverse logistics, and sustainable logistics


📚︎Track 3:Innovation in Methods of Management Science and Engineering

  • ·Optimization models and algorithms

  • ·Stochastic modeling and simulation

  • ·Game theory and mechanism design

  • ·Multi-criteria decision-making methods

  • ·Systems engineering approaches

  • ·Network analysis and complex systems

  • ·Data mining and machine learning in management science

  • ·Agent-based modeling and simulation

  • ·Operations research methods and applications

  • ·Hybrid intelligence methods for complex decision-making

📚︎Track 4: Artificial Intelligence and Data-Driven Decision-Making


       · AI-enabled decision support systems 

  • · Machine learning for operations and supply chain management

  • · Deep learning applications in IEOM

  • · Prescriptive analytics and decision intelligence

  • · Data-driven process mining

  • · Intelligent forecasting and planning

  • · Natural language processing in business operations

  • · Generative AI in management and operations

  • · Big data analytics for operational performance

  • · Ethical, trustworthy, and explainable AI in management

📚︎Track 5:  Sustainable Operations and Green Development


  • · Green manufacturing and low-carbon production

  • · Circular economy and sustainable supply chains

  • · Carbon footprint measurement and reduction

  • · Energy-efficient operations

  • · Waste reduction and resource optimization

  • · Environmental performance evaluation

  • · ESG governance and sustainable business models

  • · Green innovation and eco-design

  • · Sustainable procurement and responsible sourcing

  • · Climate risk and sustainability resilience in operations

📚︎Track 6:Collaborative Management under Global Supply Chain Restructuring

  • ·  Global supply chain reconfiguration

  • ·  Cross-border operations management

  • ·  International trade uncertainty and operational response

  • ·  Collaboration and coordination in supply networks

  • ·  Regional industrial chain development

  • ·  Supply chain localization and diversification strategies

  • ·  Geopolitics, trade policy, and supply chain resilience

  • ·  Strategic alliance and ecosystem management

  • ·  Coordination among firms, platforms, and institutions

  • ·  Global-to-local operational adaptation

📚︎Track 7:Integration of Engineering Management Theory and Digital Economy Practice


  • ·   Digital transformation of engineering management

  • ·   Project management in the digital economy

  • ·   Innovation management and technology commercialization

  • ·   Smart construction and infrastructure management

  • ·   Platform economy and operational strategy

  • ·   Entrepreneurial operations and business model innovation

  • ·   Digital governance and organizational transformation

  • ·   Service operations in digital platforms

  • ·   Case studies on enterprise digital transformation

  • ·   Policy, regulation, and industry practice in the digital era