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<\/a><\/p>\n\u00a0Figure 1\u00a0 Component Interventions, Frequency, Lifespan, Range, Duration<\/p>\n
we get the graphical representation of the timelines presented below.<\/p>\n
<\/p>\n Figure 2 The System Maintenance Timeline<\/p>\n We will establish a method to merge the life cycle timelines of our five civil-engineered systems, aiming to identify the intersections and overlaps over a 50-year lifespan. The designated start date is January 1, 2024. It is important to note that this approach assumes an identical lifetime and starting date for all five subsystems within the integrated system. Construction time and the duration for dismantling\/demolishing the product are not considered in this analysis.<\/p>\n <\/p>\n <\/p>\n <\/p>\n Figure 3 The\u00a0Calculation of The Total maintenance Duration Over Its Lifetime<\/p>\n As evident from the results displayed in the R console, design option 2 emerges with the least downtime, making it the preferred choice for the subsequent analysis. The next step involves visualizing and selecting maxima based on our preference, which, in this case, aligns with option 2. Utilizing the low() and high() functions offered by the rPref package, we aim to identify the optimal preference. Our objective is to minimize the duration of interruptions while simultaneously maximizing the intervals between interventions. After executing a specific R code, the results indicate the optimal outcome, as illustrated here:<\/p>\n Figure 4\u00a0Preferred Maintenance Strategies<\/p>\n The outcome is depicted in the following figure. In this visual representation, the explored alternatives are organized into 162 groups according to the established preference. While we are aware of the color associated with the top-rated alternatives, distinguishing them becomes challenging at this stage. Enhancing the graphical representation can be achieved effectively by incorporating the Pareto Frontier.<\/p>\n \u00a0Figure 5\u00a0Maintenance Strategy Combination, Ranked Alternatives<\/p>\n After selecting design option 2, the maintenance task efficiency was optimized. The function essentially identifies optimal strategies to minimize downtime and maximize the time between maintenance tasks. The image below depicts plots of two alternatives for the choice of prioritization. In one, minimal maintenance duration is prioritized, while in the other, maximizing the time between tasks is given precedence.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\n<\/a><\/div>\n