Office building maintenance: Cost prediction model
Building maintenance costs are increasing rapidly due to poor maintenance in the past. In this paper, attempts are made to identify the characteristics of scheduled maintenance. It has been established that the characteristics of scheduled maintenance always affect the cost performance. Therefore, t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Croatian Society of Civil Engineers
2013
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Online Access: | http://eprints.um.edu.my/11441/1/JCE_65_2013_9_2_1050_EN.pdf |
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author | Au-Yong, C.P. Ali, A.S. Ahmad, F. |
author_facet | Au-Yong, C.P. Ali, A.S. Ahmad, F. |
author_sort | Au-Yong, C.P. |
collection | UM |
description | Building maintenance costs are increasing rapidly due to poor maintenance in the past. In this paper, attempts are made to identify the characteristics of scheduled maintenance. It has been established that the characteristics of scheduled maintenance always affect the cost performance. Therefore, this research aims to establish their relationships. Then, regression model is produced for maintenance prediction purposes. The triangulation approach that includes literature review, questionnaire survey, and interviews, has been adopted for data collection. Consequently, the regression model can be adopted by practitioners. |
first_indexed | 2024-03-06T05:28:43Z |
format | Article |
id | um.eprints-11441 |
institution | Universiti Malaya |
language | English |
last_indexed | 2024-03-06T05:28:43Z |
publishDate | 2013 |
publisher | Croatian Society of Civil Engineers |
record_format | dspace |
spelling | um.eprints-114412014-12-04T06:25:54Z http://eprints.um.edu.my/11441/ Office building maintenance: Cost prediction model Au-Yong, C.P. Ali, A.S. Ahmad, F. TH Building construction Building maintenance costs are increasing rapidly due to poor maintenance in the past. In this paper, attempts are made to identify the characteristics of scheduled maintenance. It has been established that the characteristics of scheduled maintenance always affect the cost performance. Therefore, this research aims to establish their relationships. Then, regression model is produced for maintenance prediction purposes. The triangulation approach that includes literature review, questionnaire survey, and interviews, has been adopted for data collection. Consequently, the regression model can be adopted by practitioners. Croatian Society of Civil Engineers 2013 Article PeerReviewed application/pdf en http://eprints.um.edu.my/11441/1/JCE_65_2013_9_2_1050_EN.pdf Au-Yong, C.P. and Ali, A.S. and Ahmad, F. (2013) Office building maintenance: Cost prediction model. Gradevinar, 65 (9). pp. 803-809. ISSN 0350-2465, http://hrcak.srce.hr/file/160675.pdf |
spellingShingle | TH Building construction Au-Yong, C.P. Ali, A.S. Ahmad, F. Office building maintenance: Cost prediction model |
title | Office building maintenance: Cost prediction model |
title_full | Office building maintenance: Cost prediction model |
title_fullStr | Office building maintenance: Cost prediction model |
title_full_unstemmed | Office building maintenance: Cost prediction model |
title_short | Office building maintenance: Cost prediction model |
title_sort | office building maintenance cost prediction model |
topic | TH Building construction |
url | http://eprints.um.edu.my/11441/1/JCE_65_2013_9_2_1050_EN.pdf |
work_keys_str_mv | AT auyongcp officebuildingmaintenancecostpredictionmodel AT alias officebuildingmaintenancecostpredictionmodel AT ahmadf officebuildingmaintenancecostpredictionmodel |