Case Study

How Cornell University streamlined scheduling and made funds go further

The facilities management team at Cornell improved their work management processes by eliminating inefficiencies and optimizing labor resource management. They significantly reduced scheduling time, improved job throughput, and maximized their budget to take on more in-house projects.

Products Used

- Planning & Scheduling for IBM Maximo

80-90%

reduction in time required to create schedules

78%

reduction in job completion time

300%

increase in budget efficiency, enabling more in-house projects

DOWNLOAD PDF

Challenge

Cornell University’s decentralized maintenance scheduling process caused inefficiencies and delays. Each of the 14 campus partners used different tools—spreadsheets, handwritten notes—resulting in:

Inconsistent workflows
Difficult labor sharing
Excessive time spent
Limited data insights

Solutions

Cornell implemented Prometheus Planning and Scheduling for IBM Maximo to create a unified, transparent scheduling process and improve decision-making. Key solution components included:

Prometheus Scheduler for Maximo: A data-driven tool that unified scheduling across campus zones
vCalendar integration: Centralized workforce availability, including sick leave, vacations, and training schedules
Heat maps & data visualization: Provided clear workload insights, enabling better labor distribution
Standardized scheduling workflows: Replaced fragmented tools with a structured, repeatable system
Bottom-up implementation strategy: Encouraged team adoption and engagement for seamless integration

Results

With Prometheus Planning & Scheduling, Cornell’s facilities team achieved:

80–90% reduction in scheduling time
78% faster job completion
300% increase in budget efficiency
Better decision-making
Improved labor collaboration

See it in action

Book a Demo