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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/y7m546 |
id |
ndltd-TW-107NTU05015033 |
---|---|
record_format |
oai_dc |
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 |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
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 |
work_keys_str_mv |
AT mengjuwu developmentoftrainsetassignmentmodelwithpredictivemaintenancestrategy AT wúmèngrú developmentoftrainsetassignmentmodelwithpredictivemaintenancestrategy AT mengjuwu kǎoliàngchēzǔlièhuàtèxìngzhīguǐdàochēliàngyùcèxìngjiǎnxiūpáichéng AT wúmèngrú kǎoliàngchēzǔlièhuàtèxìngzhīguǐdàochēliàngyùcèxìngjiǎnxiūpáichéng |
_version_ |
1719291504811311104 |