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Key deadlines

Conference starts:

2025-12-25

Website

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Conference Description

Topics of Interest for Submission include, but are Not Limited to:

I. Industry 4.0, 5.0 & Smart Manufacturing

Digital Transformation in Manufacturing: Strategies and challenges for digitalization, IT/OT convergence.
Industrial Internet of Things (IIoT): Sensor networks, data acquisition, connectivity, and cloud integration for manufacturing systems.
Cyber-Physical Systems (CPS): Design, implementation, and management of intelligent, connected manufacturing processes.
Big Data Analytics & Machine Learning in Manufacturing:
Predictive analytics for maintenance (predictive maintenance, prognostics and health management - PHM).
Prescriptive analytics for process optimization and decision-making.
Machine learning for quality control, defect detection, and process monitoring.
Digital Twins: Creating virtual models of physical assets, processes, and systems for simulation, optimization, and real-time monitoring.
Robotics & Automation:
Collaborative robots (cobots) and human-robot interaction in manufacturing.
Autonomous mobile robots (AMRs) for logistics and material handling.
Advanced automation for assembly, inspection, and hazardous environments.
Additive Manufacturing (3D/4D Printing):
Industrial applications of additive manufacturing (e.g., rapid prototyping, tooling, customized products).
New materials and processes for additive manufacturing.
Design for additive manufacturing.
Cybersecurity in Industrial Systems: Protecting OT networks, SCADA systems, and industrial control systems from cyber threats.
Edge Computing in Manufacturing: Real-time data processing and analytics at the factory floor for low-latency decisions.
Cloud Manufacturing: Leveraging cloud infrastructure for manufacturing resources, services, and collaboration.
Human-Centric Manufacturing (Industry 5.0): Emphasizing human well-being, sustainability, and resilience alongside efficiency.
II. Operations Research & Optimization

Mathematical Programming: Linear, nonlinear, integer, mixed-integer programming for optimization problems.
Stochastic Modeling & Simulation:
Discrete-event simulation for system performance analysis.
Monte Carlo simulation for risk assessment.
Queuing theory and network analysis.
Heuristics & Metaheuristics: Genetic algorithms, simulated annealing, ant colony optimization, particle swarm optimization for complex problems.
Decision Analysis & Support Systems: Tools and methodologies for making optimal decisions under uncertainty.
Multi-objective Optimization: Balancing conflicting objectives in manufacturing and supply chain design.
Scheduling & Sequencing: Production scheduling, job shop scheduling, project scheduling, and resource allocation.
Facility Layout & Location: Optimal design and placement of facilities, warehouses, and production lines.
III. Supply Chain Management & Logistics

Supply Chain Design & Optimization: Network design, facility location, capacity planning.
Supply Chain Resilience & Risk Management: Mitigating disruptions, disaster preparedness, and building robust supply chains.
Sustainable Supply Chains: Green logistics, carbon footprint reduction, circular economy principles in supply chains.