Modeling maintenance manpower of a commercial building

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Modeling maintenance manpower of a commercial building

 

Author: Lai, Lam-tung
Title: Modeling maintenance manpower of a commercial building
Degree: M.Eng.
Year: 2012
Subject: Commercial buildings -- Maintenance and repair.
Commercial buildings -- Maintenance and repair -- Estimates.
Hong Kong Polytechnic University -- Dissertations
Department: Dept. of Building Services Engineering
Pages: xi, 163, 19 leaves : ill. ; 30 cm.
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b2525554
URI: http://theses.lib.polyu.edu.hk/handle/200/6639
Abstract: The prices of the buildings in Hong Kong have been increased rapidly in 2010. From the engineering aspect, one of the means to maintain the asset price at a higher level is to provide a high quality operation and maintenance services to the building occupants. Good maintenance service can lower the deterioration rate of the built assets, enhance the energy efficiency of building and reduce the obstacle to the building occupants. Building maintenance is a labour intensive industry and the maintenance cost highly depends on the labour cost. Although manpower plays an important role in maintenance, but the amount of manpower is not determined in a scientific way. The existing industry only estimates the amount of manpower based on the managers' experience or the manpower applied in the same type and scale of buildings. The purpose of this study is to model some mathematical equations by using the linear regression method to assist practitioners to forecast the maintenance performance corresponding to the manpower input and the number of orders requested. Different sets of equations were modeled by different combinations of data arrangement. The results of the equations were accepted by management theory and mathematical theory. The maintenance performances Ys (downtime, response time and repair time) have a correlation between the manpower input (X1) and the number of order requested (X2). The p values of the equations were valid mathematic requirement (≤ 0.05). Finally, summaries of regressions and recommendations showed as a reference to the maintenance industry and the professionals to hold further development in the future.

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