Office building maintenance: Cost prediction model

被引:0
|
作者
Au-Yong, Cheong Peng [1 ]
Ali, Azlan Shah [1 ]
Ahmad, Faizah [1 ]
机构
[1] Univ Malaya, Fac Built Environm, Kuala Lumpur 50603, Malaysia
来源
GRADEVINAR | 2013年 / 65卷 / 09期
关键词
office building; scheduled maintenance; cost performance; regression model;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:803 / 809
页数:7
相关论文
共 50 条
  • [1] PREDICTION COST MAINTENANCE MODEL OF OFFICE BUILDING BASED ON CONDITION-BASED MAINTENANCE
    Au-Yong, Cheong Peng
    Ali, Azlan Shah
    Ahmad, Faizah
    [J]. EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2014, 16 (02): : 319 - 324
  • [2] Office Building Rental Prediction Model Based on Locational Determinants
    Mohd, Thuraiya
    Harussani, Mohamad
    Masrom, Suraya
    Ab Rahman, Hanafi
    Rahman, Lathifah
    [J]. INTERNATIONAL JOURNAL OF SUSTAINABLE CONSTRUCTION ENGINEERING AND TECHNOLOGY, 2023, 14 (03): : 229 - 238
  • [3] Development of Maintenance Cost Prediction Model for Heritage Buildings
    Mahmoud, Sodangi
    Khamidi, Mohd Faris
    Idrus, Arazi
    Ashola, Olanrewaju Abdul-Lateef
    [J]. JURNAL TEKNOLOGI, 2015, 74 (02): : 51 - 57
  • [4] Cost prediction model for building deconstruction in urban areas
    Tatiya, Amol
    Zhao, Dong
    Syal, Matt
    Berghorn, George H.
    LaMore, Rex
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 195 : 1572 - 1580
  • [5] Model input selection for building heating load prediction: A case study for an office building in Tianjin
    Ding, Yan
    Zhang, Qiang
    Yuan, Tianhao
    Yang, Kun
    [J]. ENERGY AND BUILDINGS, 2018, 159 : 254 - 270
  • [6] Simplified prediction model for lighting energy consumption in office building scheme design
    余琼
    周潇儒
    林波荣
    朱颖心
    [J]. Journal of Central South University, 2009, 16 (S1) : 28 - 32
  • [7] Bayesian Calibration for Office-Building Heating and Cooling Energy Prediction Model
    Cui, Yu
    Zhu, Zishang
    Zhao, Xudong
    Li, Zhaomeng
    Qin, Peng
    [J]. BUILDINGS, 2022, 12 (07)
  • [8] Modelling Office Building Rent Prediction based on Auto Model in Machine Learning
    Mohd, Thuraiya
    Harussani, Muhamad
    Masrom, Suraya
    Johari, Noraini
    Alfat, Lathifah
    [J]. ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL, 2022, 7 (19):
  • [9] Simplified prediction model for lighting energy consumption in office building scheme design
    Yu Qiong
    Zhou Xiao-ru
    Lin Bo-rong
    Zhu Ying-xin
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY, 2009, 16 : 28 - 32
  • [10] Research opportunities in maintenance of office building services systems
    Wu, Shaomin
    Neale, Keith
    Williamson, Michael
    Hornby, Matthew
    [J]. JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING, 2010, 16 (01) : 23 - +