Condition based maintenance policies for an aging system

Thanks to the developing technology, R&D studies and the great support given to the defense industry in our country, the defense industry sector is going further and new domestic and national products are being developed day by day. As well as designing and manufacturing new products, it is also very important that the products delivered to the customer can be supported at minimum cost. Within the scope of this study, there is an optimal maintenance policy by establishing a random decision model that optimizes the inspection time for a critical material that is Markov aging in a complex military system that is actively used in the field. According to the condition of the system, which is periodically examined by the user at τ time, the most appropriate of the four maintenance and repair policies determined earlier is applied. Thus, it is aimed to intervene before the system fails and to prevent large costs to be encountered in the future. At the same time, with this maintenance and repair approach, the readiness of the system will be increased and customer satisfaction will be ensured. For these four different maintenance and repair policies, maintenance models have been established with the help of renewal theory under all actions that find the optimal review period. Then, the values of some parameters in these models were changed and their effects on maintenance policies were examined. Keywords: Condition based maintenance, Periodic inspection, Markovian aging system, Renewal theory