A new methodology designed to assess the economic value of the scheduling rules for preventive maintenance on a chemical process plant is presented. The methodology is based on the use of a Monte Carlo simulation, which takes into account scenarios that include equipment failure, resources limitations, repair downtime, performance of failed but not repaired equipment due to lack of resources, and some other maintenance rules. The well-known Tennessee Eastman Plant problem is used to illustrate results.