35th BALI Global Conference on âIndustrial & Manufacturing Systems Engineeringâ (GIMSE-25) scheduled on Dec. 25-27, 2025 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.
Conference Details:International Conference on Management and Information Technology , on 30th Jun 2026 at Jakarta,...
Conference Details:57th BALI International Conference on Arts, Literature, Heritage & Cultural Studies (ALHCS-25) Dec. 25-27,...
Conference Details:International Conference on Recent Advances in Computer Science and Information Technology , on 9th...
