Abstract:

It is important to schedule the limited maintenance resources efficiently for equipment supportability. In the static modeling stage, a new mathematic description model is presented considering complex constraints such as power configuration and assignments relationships of maintenance units. In the dynamic stage, a Petri nets model is established to translate the static mathematic model into the dynamic workflow model. In the Petri nets model, a set of firing rules are proposed to implement the constraints of the mathematic model, and the new net structures are designed to simulate the workflow of uncertainties and cooperative process. In order to solve the planning model, an optimization algorithm based on the annealing evolution algorithm is presented in which a simulated annealing algorithm is adopted to solve the maintenance unit assignment problem and a search algorithm is used to generate the schedule results according to the Petri nets model. The simulation results indicates that the algorithm can improve the unit utilization with a high evolution speed.