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Big data analytics for predictive maintenance in maintenance management

Purpose: This research attempts to highlight the concept of big data analytics in predictive maintenance for maintenance management of government buildings in Malaysia. Design/methodology/approach: This study uses several empirical analyses such as vector autoregression (VAR), vector error correctio...

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主要な著者: Razali, Muhammad Najib, Jamaluddin, Ain Farhana, Abdul Jalil, Rohaya, Thi, Kim Nguyen
フォーマット: 論文
出版事項: Emerald Group Holdings Ltd. 2020
主題:
HD28 Management. Industrial Management
オンライン･アクセス:http://eprints.utm.my/id/eprint/93272/
http://dx.doi.org/10.1108/PM-12-2019-0070
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spelling my.utm.932722021-11-19T03:29:56Z http://eprints.utm.my/id/eprint/93272/ Big data analytics for predictive maintenance in maintenance management Razali, Muhammad Najib Jamaluddin, Ain Farhana Abdul Jalil, Rohaya Thi, Kim Nguyen HD28 Management. Industrial Management Purpose: This research attempts to highlight the concept of big data analytics in predictive maintenance for maintenance management of government buildings in Malaysia. Design/methodology/approach: This study uses several empirical analyses such as vector autoregression (VAR), vector error correction model (VECM), ARMA model and Granger causality to analyse predictive maintenance by using big data analytics concept. Findings: The results indicate that there are strong correlations among these variables, which indicate reciprocal predictive maintenance of maintenance management job function. The findings also showed that there are significant needs of application of big data analytics for maintenance management in Putrajaya, Malaysia, to ensure the efficient maintenance of government buildings. Originality/value: The conducted case study has demonstrated the empirical perspective which streamlines with the big data analytics' concept in maintenance, especially for analytics' support with appropriate empirical methodology. Emerald Group Holdings Ltd. 2020-07-15 Article PeerReviewed Razali, Muhammad Najib and Jamaluddin, Ain Farhana and Abdul Jalil, Rohaya and Thi, Kim Nguyen (2020) Big data analytics for predictive maintenance in maintenance management. Property Management, 38 (4). pp. 513-529. ISSN 0263-7472 http://dx.doi.org/10.1108/PM-12-2019-0070 DOI:10.1108/PM-12-2019-0070
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Razali, Muhammad Najib
Jamaluddin, Ain Farhana
Abdul Jalil, Rohaya
Thi, Kim Nguyen
Big data analytics for predictive maintenance in maintenance management
description Purpose: This research attempts to highlight the concept of big data analytics in predictive maintenance for maintenance management of government buildings in Malaysia. Design/methodology/approach: This study uses several empirical analyses such as vector autoregression (VAR), vector error correction model (VECM), ARMA model and Granger causality to analyse predictive maintenance by using big data analytics concept. Findings: The results indicate that there are strong correlations among these variables, which indicate reciprocal predictive maintenance of maintenance management job function. The findings also showed that there are significant needs of application of big data analytics for maintenance management in Putrajaya, Malaysia, to ensure the efficient maintenance of government buildings. Originality/value: The conducted case study has demonstrated the empirical perspective which streamlines with the big data analytics' concept in maintenance, especially for analytics' support with appropriate empirical methodology.
format Article
author Razali, Muhammad Najib
Jamaluddin, Ain Farhana
Abdul Jalil, Rohaya
Thi, Kim Nguyen
author_facet Razali, Muhammad Najib
Jamaluddin, Ain Farhana
Abdul Jalil, Rohaya
Thi, Kim Nguyen
author_sort Razali, Muhammad Najib
title Big data analytics for predictive maintenance in maintenance management
title_short Big data analytics for predictive maintenance in maintenance management
title_full Big data analytics for predictive maintenance in maintenance management
title_fullStr Big data analytics for predictive maintenance in maintenance management
title_full_unstemmed Big data analytics for predictive maintenance in maintenance management
title_sort big data analytics for predictive maintenance in maintenance management
publisher Emerald Group Holdings Ltd.
publishDate 2020
url http://eprints.utm.my/id/eprint/93272/
http://dx.doi.org/10.1108/PM-12-2019-0070
_version_ 1717093445293572096
score 13.251815

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