Multivariate Approach to Benchmarking Quality Prediction Parameters in Building Maintenance Works

Amusan, L. M. and Oluwunmi, Adedamola O and Owolabi, J. D and Joshua, Opeyemi (2013) Multivariate Approach to Benchmarking Quality Prediction Parameters in Building Maintenance Works. Journal of Industrial Engineering Letters , 3 (5). pp. 11-21. ISSN ISSN 2222-1719 (Paper) ISSN 2222-2863 (Online)

PDF Download (125kB)

Abstract

Observing quality etiquette on maintenance work is of essence when satisfying clients’ requirement is a priority. However, the quality etiquette comes in the form of framework and benchmarks. This study has therefore presented succinctly, multivariate approach to benchmarking quality prediction parameters in building maintenance works. The study used sixty-three (63) questionnaires retrieved which contains information on benchmarked parameters. The study used factor analysis to reduce the parameters to a sizeable number based on their coefficient and Eigen value. Resultant factors were used to dissect quality into quality dichotomies; the zero defect, medium quality and high quality work status. The model would assist building maintenance practitioners in quality monitoring on building maintenance works

Item Type:	Article
Uncontrolled Keywords:	Benchmark, Quality, Multi-variable, Rotation, Prediction.
Subjects:	T Technology > TH Building construction
Divisions:	Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment
Depositing User:	Mr Solomon Bayoko
Date Deposited:	02 Jan 2015 10:43
Last Modified:	10 Jul 2017 11:52
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/3204

Actions (login required)

View Item