• Journal of the Korean Data and Information Science Society
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• 제27권6호
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• pp.1557-1564
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• 2016

최근에 기본보증이 종료된 이후에 주어지는 시스템의 추가보증에 대한 사용자의 관심이 증가되고 있다. 따라서 본 논문에서는 사용자 측면에서 비재생보증 하에서의 이단계 보전정책을 제안하였다. 이단계 보전정책의 첫 번째 단계에서는 추가보증을 구입할 것인지의 여부를 결정하고, 두 번째 단계에서는 보증이 종료된 이후의 최적의 교체 주기를 결정한다. 이때, 추가보증 동안에 발생된 시스템의 고장에 대해서는 판매자에 의해서 무료로 최소수리가 이루어진다. 최적의 이단계 보전정책을 결정하기 위해서 사용자 측면에서 기대비용을 사용하였으며, 끝으로 시스템의 고장시간이 와이블 분포를 따를 때 수치적 예를 통하여 제안된 이단계 보전정책을 설명하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.3-10
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• 2022

An estimated investment gap of $176 billion needs to be filled over the next ten years to improve America's inland waterway transportation systems. Many of these infrastructure systems are now beyond their original 50-year design life and are often behind in maintenance due to funding constraints. Therefore, long-term maintenance strategies (i.e., asset management (AM) strategies) are needed to optimize investments across these waterway systems to improve their condition. Two common AM strategies include policy-driven maintenance and performance-driven maintenance. Currently, limited research exists on selecting the optimal AM approach for managing inland waterway transportation assets. Therefore, the goal of this study is to provide a decision model that can be used to select the optimal alternative between the two AM approaches by considering key uncertainties such as asset condition, asset test results, and asset failure. We achieve this goal by addressing the decision problem as a single-criterion problem, which calculates each alternative's expected value and certain equivalence using allocated monetary values to determine the recommended alternative for optimally maintaining navigable waterways. The decision model considers estimated and predicted values based on the current state of the infrastructure. This research concludes that the performance-based approach is the optimal alternative based on the expected value obtained from the analysis. This research sets the stage for further studies on fiscal constraints that will effectively optimize these assets condition.