Office Building Maintenance: Cost Prediction Model

Au-Yong, C. P., Ali, A. S., & Ahmad, F. (2013). Office Building Maintenance: Cost Prediction Model. Gradevinar, 65(9), 803-809. doi: 10.6084/m9.figshare.4883831

7 Pages Posted: 18 Apr 2017

See all articles by Cheong Peng Au-Yong

Cheong Peng Au-Yong

University of Malaya

Azlan Shah Ali

University of Malaya (UM)

Faizah Ahmad

University of Malaya (UM) - Faculty of Built Environment

Date Written: 2013

Abstract

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.

Keywords: office building, scheduled maintenance, cost performance, regression model

JEL Classification: L74, C44

Suggested Citation

Au-Yong, Cheong Peng and Ali, Azlan Shah and Ahmad, Faizah, Office Building Maintenance: Cost Prediction Model (2013). Au-Yong, C. P., Ali, A. S., & Ahmad, F. (2013). Office Building Maintenance: Cost Prediction Model. Gradevinar, 65(9), 803-809. doi: 10.6084/m9.figshare.4883831, Available at SSRN: https://ssrn.com/abstract=2422203

Cheong Peng Au-Yong (Contact Author)

University of Malaya ( email )

Faculty of Built Environment
University of Malaya
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Azlan Shah Ali

University of Malaya (UM) ( email )

Kuala Lumpur, Wilayah Persekutuan 50603
University of Malaya (UM)
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Faizah Ahmad

University of Malaya (UM) - Faculty of Built Environment ( email )

Administration Office
University Of Malaya
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

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