Using historical data and CMMS to track and manage preventative maintenance and emerging costs for fleet vehicles on a university campus

Abstract

Maintenance of vehicle fleets can be costly and cumbersome if done inefficiently or incorrectly. This project will look at how computerized maintenance management systems (CMMS) can be used to more efficiently manage the preventative maintenance program for a large fleet of vehicles at a university campus. Preventative maintenance programs can be difficult to implement, even more so when CMMS is being used to track and monitor the programs. It takes collaboration and buy-in between several groups to have this process go smoothly. This project will need to document all vehicular assets within the current vehicle pool and their required preventative maintenance. This data will then be used to create a maintenance program through a CMMS that is expected to decrease corrective maintenance, effectively increasing more efficient and sustainable predicative maintenance. Historical maintenance data will be used to identify failure trends in each of the vehicles that is used during snow removal at the University of Chicago. These trends will then be used to project emerging costs.