Development of Trainset Assignment Model with Predictive Maintenance Strategy

碩士 === 國立臺灣大學 === 土木工程學研究所 === 107 === The efficiency of trainset utilization is an important objective pursued in practice. Trainset assignment plan including the assignment of utilization paths and maintenance tasks. Previous studies have adopted the fixed periodic maintenance (PM) strategy; howev...

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Main Authors: Meng-Ju Wu, 吳孟儒
Other Authors: 賴勇成
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/y7m546
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spelling ndltd-TW-107NTU050150332019-11-16T05:27:54Z http://ndltd.ncl.edu.tw/handle/y7m546 Development of Trainset Assignment Model with Predictive Maintenance Strategy 考量車組劣化特性之軌道車輛預測性檢修排程 Meng-Ju Wu 吳孟儒 碩士 國立臺灣大學 土木工程學研究所 107 The efficiency of trainset utilization is an important objective pursued in practice. Trainset assignment plan including the assignment of utilization paths and maintenance tasks. Previous studies have adopted the fixed periodic maintenance (PM) strategy; however, the difference in the reliability of trainset is not considered. Maintenance planners have to manually adjust utilization and maintenance tasks on the basis of experience. Consequently, this study proposes an optimization process for assigning trainset to utilization paths and maintenance tasks in accordance with the predictive maintenance strategy (PdM) with trainset-specific degradation models. Results of the empirical study demonstrate that the developed process with PdM can assign utilization paths and schedule maintenance tasks to each trainset efficiently and reduce the total cost compared with the PM-only strategy. Adopting this process can help planners improve the efficiency and reliability of trainset utilization. 賴勇成 2019 學位論文 ; thesis 85 en_US
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description 碩士 === 國立臺灣大學 === 土木工程學研究所 === 107 === The efficiency of trainset utilization is an important objective pursued in practice. Trainset assignment plan including the assignment of utilization paths and maintenance tasks. Previous studies have adopted the fixed periodic maintenance (PM) strategy; however, the difference in the reliability of trainset is not considered. Maintenance planners have to manually adjust utilization and maintenance tasks on the basis of experience. Consequently, this study proposes an optimization process for assigning trainset to utilization paths and maintenance tasks in accordance with the predictive maintenance strategy (PdM) with trainset-specific degradation models. Results of the empirical study demonstrate that the developed process with PdM can assign utilization paths and schedule maintenance tasks to each trainset efficiently and reduce the total cost compared with the PM-only strategy. Adopting this process can help planners improve the efficiency and reliability of trainset utilization.
author2 賴勇成
author_facet 賴勇成
Meng-Ju Wu
吳孟儒
author Meng-Ju Wu
吳孟儒
spellingShingle Meng-Ju Wu
吳孟儒
Development of Trainset Assignment Model with Predictive Maintenance Strategy
author_sort Meng-Ju Wu
title Development of Trainset Assignment Model with Predictive Maintenance Strategy
title_short Development of Trainset Assignment Model with Predictive Maintenance Strategy
title_full Development of Trainset Assignment Model with Predictive Maintenance Strategy
title_fullStr Development of Trainset Assignment Model with Predictive Maintenance Strategy
title_full_unstemmed Development of Trainset Assignment Model with Predictive Maintenance Strategy
title_sort development of trainset assignment model with predictive maintenance strategy
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/y7m546
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