Roh, S.; Lee, J.; Urbino, I.J.; Lin, W.; Cho, Y. Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization. Appl. Sci.2023, 13, 13167.
Roh, S.; Lee, J.; Urbino, I.J.; Lin, W.; Cho, Y. Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization. Appl. Sci. 2023, 13, 13167.
Roh, S.; Lee, J.; Urbino, I.J.; Lin, W.; Cho, Y. Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization. Appl. Sci.2023, 13, 13167.
Roh, S.; Lee, J.; Urbino, I.J.; Lin, W.; Cho, Y. Airport Pavement Maintenance Decision-Making System with Condition Cases Optimization. Appl. Sci. 2023, 13, 13167.
Abstract
The rapid growth of the aviation industry has progressively heightened the importance of airport maintenance management. There is an increasing need for a comprehensive system that considers the diverse requirements of various stakeholders. Existing research has primarily focused on the technological advancements of optimization models, with limited applicability in practice. In this study, we introduce the Condition Cases Optimization (CCO) to address these limitations while incorporating multi-facility and multi-year network optimization models. We developed condition index, Serviceability Level, integrated assessment indices and performance models for decision-making criteria. We categorize conditions into three classes and propose a practical decision-making strategy that can flexibly adapt to budget constraints. Sensitivity analysis highlights the impact of initial budget, maintenance methods, costs, and thresholds on decision outcomes. Through a case study we validate the effectiveness and practicality of the CCO method as an efficient decision-making tool.
Copyright:
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