Abstract
In order to ensure proper and effective performance of tasks in complex systems of means of transport operation, it is necessary to maintain an appropriate number of buses that are capable of carrying out transport. This is achieved as a result of the implementation of maintenance and repair processes at the stations of the workability assurance subsystem. The ability to perform maintenance and repair tasks assigned to airworthiness assurance subsystems depends on their readiness to drive. Ensuring the required readiness of the tested subsystems is possible by adjusting the number and structure of maintenance and repair stations, adjusting the equipment of these stations in such a way that, if necessary, it is possible to perform specific tasks at various types of stations and the use of devices and tools with high reliability, durability and efficiency. The article presents a description of the method of determining the optimal strategy for controlling the process of exploitation of means of transport with the use of decisionmaking semiMarkov processes. The selection of the optimal (suboptimal) solution is carried out using a genetic algorithm. As a result implementation numerical calculations , a set of solutions in the form of the so-called Pareto front is obtained for the applied criterion functions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.