Multivariate Approach to Benchmarking Quality Prediction Parameters in Building Maintenance Works

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dc.contributor.authorAmusan, L.M
dc.contributor.authorOluwunmi, A.O
dc.contributor.authorOwolabi, J.D
dc.contributor.authorJoshua, O
dc.date.accessioned2022-01-14T11:40:52Z
dc.date.available2022-01-14T11:40:52Z
dc.date.issued2013
dc.descriptionScholarly articlesen_US
dc.description.abstractObserving 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.en_US
dc.identifier.citationAmusan, L. M, Oluwunmi A. O. Owolabi J. D. and Joshua, O. (2013) Multivariate Approach to Benchmarking Quality Prediction Parameters in Building Maintenance Works, Industrial Engineering Letters, 3(6), 21-27.en_US
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/10363
dc.language.isoenen_US
dc.publisherIndustrial Engineering Lettersen_US
dc.subjectBenchmark, Quality, Multi-variable, Rotation, Predictionen_US
dc.subjectBenchmarken_US
dc.subjectQualityen_US
dc.subjectMulti-variableen_US
dc.subjectPredictionen_US
dc.subjectResearch Subject Categories::SOCIAL SCIENCESen_US
dc.titleMultivariate Approach to Benchmarking Quality Prediction Parameters in Building Maintenance Worksen_US
dc.typeArticleen_US
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