UF’s BS in Industrial and Systems Engineering focuses on designing, analyzing, and improving complex systems in industries such as manufacturing, logistics, healthcare, and technology. Students gain expertise in operations research, systems simulation, production planning, ergonomics, and data analytics. The program prepares graduates to improve efficiency, reduce costs, and enhance performance across technical and managerial domains.
Optimization of warehouse layout and material flow using simulation software (ARENA or FlexSim)
Designing a predictive maintenance schedule for industrial machinery using failure data analytics
Workforce scheduling and shift optimization using integer programming for healthcare facilities
Improving order fulfillment rates in e-commerce warehouses using machine learning algorithms
Development of a human factors assessment tool for ergonomic workstation design
Simulation modeling of patient flow in a hospital emergency department to reduce wait times
Design and implementation of a quality control system for a food packaging company
Applying lean manufacturing techniques to optimize bicycle production line efficiency
Inventory management optimization using ABC analysis and EOQ models
Development of a decision-support system for supply chain risk assessment
Application of Six Sigma methodology to reduce variation in automotive assembly processes
Route optimization for logistics fleets using genetic algorithms and GIS tools
Modeling and reducing energy usage in a smart factory setting through simulation
Design of a KPI dashboard for real-time operations tracking in a manufacturing firm
Application of data envelopment analysis to evaluate academic department performance
Development of a simulation-based training module for industrial safety scenarios
Predictive analytics for customer demand forecasting in a retail chain
Implementing RFID-based inventory tracking in a mid-sized warehouse
Cost-benefit analysis of automation implementation in packaging operations
Design of a multi-objective scheduling model for university exam planning
Streamline processes and drive operational excellence through systems innovation.
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