CONTENTS:
- Introduction: Project Background and Client Type
- Services Delivered
- Highlights and Considerations
- Client Feedback
Industrial Engineering Thesis Concepts Linked to Rosario’s LDIP and GIS-Based Planning
Introduction: Project Background and Client Type
In response to the need for locally grounded, systems-oriented research, this project supports Bachelor of Science in Industrial Engineering (BSIE) students looking for relevant thesis topics tied to public planning priorities. The clients are mostly undergraduate students affiliated with Batangas State University and other academic institutions within CALABARZON who aim to align their research outputs with municipal development goals. This initiative provides a curated list of thesis title suggestions that intersect systems optimization, disaster risk reduction, and industrial engineering tools, while incorporating GIS-based spatial analysis using Rosario's official hazard and climate data. All titles are anchored in Rosario’s Local Investment Development Program (LDIP) 2022–2025 and address real-world constraints involving infrastructure, production, transportation, and service systems under climate and disaster stressors.
Services Delivered
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Proposed customized thesis titles aligned with Rosario’s LDIP 2022–2025 priority investments
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Integrated GIS-based spatial thinking into traditional Industrial Engineering frameworks
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Incorporated local hazard maps (flood, landslide, seismic) and climate vulnerability layers
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Applied systems thinking to public service delivery, logistics, and disaster-prone supply chains
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Encouraged multi-sectoral problem-solving using real municipal data and boundaries
🌟 Suggested Thesis Titles
Supply Chain, Logistics, and Facility Optimization Focus
Multi-Criteria Facility Location Planning for Emergency Supply Warehousing in Hazard-Prone Areas of Rosario
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GIS-Based Optimization of Relief Distribution Routes During Flood Events in Rosario Using Vehicle Routing Problem (VRP)
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Climate and Hazard Risk Assessment of Agricultural Supply Chains in Rosario Using GIS-Integrated Value Stream Mapping
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Design of a Hazard-Resilient Public Market Layout Using Simulation Modeling and GIS Risk Zones
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Optimal Placement of Barangay-Level Micro-Warehouses for Prepositioned Emergency Goods in High-Risk Rosario Areas
Operations Research and Decision-Making Support Focus
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Decision Support System for Municipal Resource Allocation Using GIS-Based Risk and Vulnerability Indexing
Flood Impact Simulation on Rosario's Transportation System Using System Dynamics and GIS Inputs
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Risk-Sensitive Capacity Planning of Rosario’s Public Health Facilities Using GIS and Queuing Theory Models
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Development of a Hazard-Aware Scheduling Model for Municipal Workforce Deployment During Emergencies
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GIS-Enhanced AHP-TOPSIS Framework for Prioritizing Infrastructure Investments under Rosario’s LDIP 2022–2025
Process Improvement, Safety, and Community Systems Focus
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Disaster-Responsive Lean Audit of Municipal Waste Collection System in Landslide-Prone Barangays of Rosario
Design of a Climate-Adapted Emergency Response System for Rosario Using Process Simulation and GIS Hazard Mapping
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Time-and-Motion Analysis of Public Evacuation Drills in Flood Zones of Rosario with GIS-Based Risk Correlation
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Ergonomic Risk Mapping of Rosario’s Public Market Zones under Seismic Vulnerability Areas
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Integration of Hazard Awareness into 5S and Kaizen Frameworks for Community-Based Risk Reduction Centers
💬 Expected Client Feedback
It is expected that Industrial Engineering students will find the integration of engineering systems tools with local GIS datasets to significantly enhance the relevance and practical value of their thesis planning. They are likely to recognize that the suggested topics go beyond traditional production-focused studies, offering opportunities to contribute to disaster risk reduction and community resilience. The Rosario LDIP is anticipated to serve as a guiding framework for their research direction.
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