Route and Staffing Optimization
PACKLab Project: How can time studies and route modeling reduce labor inefficiencies and travel costs for environmental services operations on campus?
An Industrial and Systems Engineering Senior Design team built a browser-based decision dashboard to optimize cleaning routes and staffing schedules for a portion of NC State Environmental Services.
Project Overview
Team: Industrial and Systems Engineering Senior Design course, Environmental Services
Duration: Spring 2026
Status: Complete
Focus: Transportation
Summary
Focused on improving operational efficiency for NC State’s Zone A8 Environmental Services team, this senior design conducted detailed time studies and applied route modeling to optimize daily staffing schedules and walking/transportation paths. To make their findings actionable, they delivered a browser-based dashboard that empowers facilities managers to make data-backed scheduling decisions.
Findings
The optimization models and dashboard enhance team sustainability through streamlined daily workflows.
