Robust design of maintenance scheduling considering engineering insurance using genetic algorithm

Preventive maintenance is a broad term that encompasses a set of activities aimed at improving the overall reliability and availability of a system. Designers of preventive maintenance schedules attempt to minimize the overall cost of system operation. There is no substitue for perfection in maintenance to ensure zero breakdown in machine, therefore it is necessary to get a machinery breakdown insurance against the risks that might occur at business. previous researches don’t consider the effect of engineering insurance on maintenance scheduling while it affect the cost function of maintenance scheduling seriously. Engineering insurance pays for all repair costs of machinery, therefore the cost function of maintenance scheduling is affected. This paper presents a new cost function for maintenance scheduling, as well as uncertainty in the cost parameters related to cost function is very common in application, so we use scenario-based approach for robust design of maintenance scheduling. Then, genetic algorithm for obtaining optimal solution of the proposed robust model is developed and effectiveness of this model is illustrated through a numerical example.

Keywords:

predictive maintenance , scheduling maintenance , machinery breakdown insurance , robust design , genetic algorithm