Global Conference on Industrial & Manufacturing Systems Engineering on December 25-27, 2025 in Bali, Indonesia

Topics/Call for Papers

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.

Global Supply Chain Management: Managing international logistics, trade policies, and cross-cultural collaborations.

Inventory Management: Demand forecasting, optimization models, JIT (Just-in-Time), VMI (Vendor-Managed Inventory).

Transportation & Logistics: Route optimization, fleet management, last-mile delivery, intermodal transport.

Blockchain for Supply Chain Transparency: Enhancing traceability, security, and trust in supply chain operations.

E-logistics & Omni-channel Supply Chains: Managing complex distribution networks for e-commerce.

Humanitarian Logistics: Supply chain management in disaster relief and humanitarian aid.

IV. Quality, Reliability & Maintenance Engineering

Total Quality Management (TQM): Principles, methodologies, and implementation of TQM systems.

Lean Manufacturing & Six Sigma: Methodologies for waste reduction, process improvement, and variability reduction.

Statistical Process Control (SPC): Monitoring and controlling processes using statistical methods.

Reliability Engineering: Design for reliability, reliability testing, and life data analysis.

Maintenance Strategies: Predictive maintenance, preventive maintenance, condition-based monitoring, RCM (Reliability-Centered Maintenance).

Quality Management Systems (QMS): ISO standards, auditing, and continuous improvement frameworks.

Failure Analysis & Root Cause Analysis: Identifying and addressing causes of defects and system failures.

V. Human Factors & Ergonomics

Workplace Design & Safety: Ergonomic design of workstations, tools, and environments to enhance safety and efficiency.

Human-Machine Interaction (HMI): Designing intuitive and effective interfaces for complex industrial systems.

Occupational Health & Safety (OHS): Risk assessment, accident prevention, and promoting well-being in industrial settings.

Cognitive Ergonomics: Understanding human cognitive processes in industrial tasks and decision-making.

Human Error Analysis & Prevention: Identifying and mitigating sources of human error in manufacturing processes.

Training & Development for Industry 4.0/5.0 Workforce: Reskilling and upskilling for advanced manufacturing environments.

VI. Engineering Management & Systems Thinking

Project Management in Engineering: Methodologies (Agile, Waterfall), risk management, resource allocation for industrial projects.

Engineering Economics & Cost Analysis: Investment appraisal, cost estimation, value engineering.

Technology Management & Innovation: Adoption of new technologies, R&D management, intellectual property.

Systems Thinking & Systems Engineering: Holistic approach to design, manage, and optimize complex industrial systems.

Performance Measurement & Management: Key performance indicators (KPIs), dashboards, balanced scorecards.

Decision Science & Analytics for Management: Leveraging data for strategic and operational decisions.

Organizational Design & Change Management: Structuring organizations for efficiency and adapting to new technologies.

VII. Sustainability & Green Industrial Engineering

Eco-design & Life Cycle Assessment (LCA): Designing products and processes with minimal environmental impact throughout their lifecycle.

Energy Efficiency in Manufacturing: Optimizing energy consumption, waste heat recovery, smart energy management.

Waste Valorization & Resource Recovery: Converting industrial waste into valuable products or energy.

Industrial Symbiosis: Collaborative networks for sharing resources and by-products among industries.

Sustainable Supply Chain Management: Integrating environmental and social considerations into the entire supply chain.

Circular Economy in Industrial Systems: Design for disassembly, repair, reuse, and recycling.

VIII. Specific Industry Applications & Case Studies

Healthcare Systems Engineering: Optimizing patient flow, hospital operations, supply chain in healthcare.

Service Systems Engineering: Applying IE principles to service industries (e.g., retail, finance, hospitality).

Aerospace & Automotive Manufacturing: Specific challenges and innovations in these sectors.

Food & Process Industries: Optimization of continuous processes, food safety, and cold chain logistics.

Defense & Security Applications of IE/MSE.

Name: URENG
Website: http://ureng.urst.org/