Maintenance Work Order Based on Event-Driven Information of Condition-Monitoring Systems—A Genetic Algorithm for Scheduling and Rescheduling of Dynamic Maintenance Orders

Abstract

By being able to calculate a machines remaining lifetime, event-driven maintenance actions can be initiated and scheduled ad-hoc into the existing working plan. Today’s maintenance management systems work mainly based on regular and cyclic services. This paper describes a new methodology to prioritize event-driven maintenance workloads driven by information from condition monitoring systems. It proposes an approach to rebuild an existing working plan automatically exploiting genetic algorithms. Accordingly, the paper gives a valuable insight regarding requirements for the integration of condition monitoring systems into maintenance operation and a possible approach to solve this issue.