By the passage of the time, Incremental population needs more and more to get industrial products, Energy, food, etc. All the sets and human artifact’s life times are limited. Because they have made by a collection of electrical and mechanical components, any time, their breakdowns and so failure of set or the whole system are possible. The more dangerous breakdown, the higher importance of maintenance activities, it is undeniable fact. To consider the maintenance activities, it’s necessary for systems whose breakdowns are so undesirable. In this situation, selection of maintenance optimal strategies has a special importance. In this paper, by considering systemability, a quantitative-qualitative model is developed which spite of optimal strategy selection, it gives optimal time to strategy changing. One of the most important advantages of this model is consideration of both quantitative-qualitative criteria and also this strategy selection is dynamic. For this, it uses Multi Criteria Decision Making approach by considering cost criteria. Finally, a factory of automotive parts manufacturer is selected as case study and diagrams as user friendly tools are utilized to sensitivity analysis of results. The results show that the proposed quantitative-qualitative approach is desirable performance,The output of the model according to the systemability are closer to fact and can be implemented in different industries.