INTRODUCTION:
Any Systems can degrade occasionally for a variety of reasons. Maintenance planning is essential for ensuring the security and functionality of these systems. However, doing maintenance tasks requires disrupting the service, which is perhaps for the best. In addition, life cycle expenses rise as interventions are carried out more frequently. Therefore, one key objective in our engineering environment is to strike a balance between degradation and maintenance.
In this project, Taking into account the interaction between the system interfaces, the various systems are presented and merged into a coherent integration model. The purpose and parameters of the integrated life-cycle analysis are then developed. By merging the different maintenance plans, various possibilities for maintenance tactics for the integrated system model are produced. To reduce the length of and increase the space between maintenance interventions, the possibilities are examined using pareto frontiers and rated. The outcomes of the integrated model’s enhanced life-cycle study, which took emissions and maintenance costs into account, are provided. The multi-objective optimization of maintenance planning is tackled using a genetic algorithm in order to create a comprehensive maintenance strategy that balances service level and life-cycle cost of the integrated system.