eprintid: 3204
rev_number: 7
eprint_status: archive
userid: 556
dir: disk0/00/00/32/04
datestamp: 2015-01-02 10:43:18
lastmod: 2017-07-10 11:52:06
status_changed: 2015-01-02 10:43:18
type: article
metadata_visibility: show
creators_name: Amusan, L. M.
creators_name: Oluwunmi, Adedamola O
creators_name: Owolabi, J. D
creators_name: Joshua, Opeyemi
creators_id: lekan.amusan@covenantuniversity.edu.ng
creators_id: funke.oluwunmi@covenantuniversity.edu.ng
creators_id: james.owolabi@covenantuniversity.edu.ng
creators_id: ope.joshua@covenantuniversity.edu.ng
title: Multivariate Approach to Benchmarking Quality Prediction Parameters in Building Maintenance Works
ispublished: pub
subjects: TH
divisions: sch_civ
full_text_status: public
keywords: Benchmark, Quality, Multi-variable, Rotation, Prediction.
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
date: 2013
date_type: published
publication: Journal of Industrial Engineering Letters 
volume: 3
number: 5
pagerange: 11-21
refereed: TRUE
issn: ISSN 2222-1719 (Paper) ISSN 2222-2863 (Online)
official_url: http://www.iiste.org
citation:   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)     
document_url: http://eprints.covenantuniversity.edu.ng/3204/1/MULTIVARIATEA%20Strategic%20Study%20on%20Foreign%20Fund%20Utilization%20in%20Chinese%20Insurance%20Industry.pdf