Maintenance planning is crucial to ensure the security and functionality of systems that may degrade due to various reasons. However, conducting maintenance tasks involves disrupting services, albeit for the greater good. Moreover, frequent interventions lead to increased life cycle expenses. Thus, achieving a balance between system degradation and maintenance is a primary objective in our engineering environment.
In this project, we first integrate various systems into a coherent model considering their interfaces. We then develop the purpose and parameters of the integrated life-cycle analysis. By consolidating different maintenance plans, we generate maintenance tactics for the integrated system model. To enhance the maintenance strategy, we analyze these possibilities using Pareto frontiers and rate them, aiming to reduce the frequency and increase the efficiency of maintenance interventions.
The outcomes of the enhanced life-cycle study, incorporating emissions and maintenance costs, are presented. Multi-objective optimization of maintenance planning is addressed using a genetic algorithm to devise a comprehensive strategy that balances service level and life-cycle cost of the integrated system.