GIMSE-25 2025 - 35th BALI Global Conference on “Industrial & Manufacturing Systems Engineering” (GIMSE-25) scheduled on Dec. 25-27, 2025 Bali (Indonesia)

Website https://ietcas.ureng.urst.org/ | Edit Freely

Category ENGINEERING, TECHNOLOGY, AI, Automobile, Bioinformatics, Biomedical, Chemical, Computer, Computing, Electrical, Energy, Image Processing, IT, Manufacturing, Mechanical, Metallurgical, Military, Mining, Nanotechnology, Aviation Architecture, Building Materials, Civil Engineering, Landscape, Pollution, Transportation.

Deadline: December 01, 2025 | Date: December 25, 2025-December 27, 2025

Venue/Country: Bali, Indonesia

Updated: 2025-07-09 17:06:33 (GMT+9)

Call For Papers - CFP

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.