Maintenance planning of integrated systems and multi-objective optimization
Over its life-cycle the service level and life-cycle cost of civil engineering systems must be kept in balance. To ensure this balance deterioration and maintenance must be considered in all stages of the life-cycle beginning with the initial design configuration.
Deterioration and maintenance of the individual components within a complex system influence each other. Maintenance planning for such integrated systems enables the synchronization of individual maintenance cycles with the goal of improving the functionality and cost-effectiveness of the whole system.
To begin with, the individual systems are introduced and integrated into a holistic integration model taking into account the interaction between the system interfaces. Subsequently, the goal and scope of the integrated life-cycle analysis is developed. Different scenarios for maintenance strategies for the integrated system model are created by combining the individual maintenance plans. The scenarios are analyzed making use of pareto frontiers and ranked with the aim of minimizing the duration of and maximizing the distance between maintenance interventions. The results of an updated life-cycle analysis of the integrated model including the cost for maintenance and emissions are presented. A genetic algorithm is applied to the multi-objective optimization problem of maintenance planning in order to develop a holistic maintenance plan balancing the service level and life-cycle cost of the integrated system.
Overview of system components
- shopping center (focus on elevator)
- climate envelope (focus on girders)
- external thermal insulation composite system
- wet sprinkler system
Table of contents
1.1 Civil systems overview
Shopping center (focus on elevator)
Climate envelope (focus on girders)
Eternal thermal insulation composite system
1.2 Development of integration context
1.3 Interfaces between civil systems
3. Integrated maintenance planning
3.1 Individual systems maintenance strategies
3.2 Bundled maintenance strategy
3.3 Exploration of multiple maintenance scenarios
4. Integrated life-cycle analysis
4.3 Integrated life-cycle inventory
4.4 Life-cycle analysis results
5. Integrated maintenance plan by multi-objective optimization
5.2 Application of the NSGA-II
Downloads
Under the link “R-script” the .txt file of our integrated solution is accesible. In order to run the code, the file will need to be converted into a .R file.
R-script
In order to run the R-script, the with our LCI data (which needs to be converted into an .csv file) is provided below:
LCI