Contribution analysis of maintainability factors for cladding facades

Abstract

A multiple regression model to predict maintainability of cladding facades was developed to take into account intangible values including customer satisfaction, response time and downtime etc. The model was derived from comprehensive condition surveys, interviews with professional managers and via the conduct of defect analysis of 37 high-rise buildings. The study showed that at 10% significance level, cladding detail, window selection, window detail, window maintenance, cladding material selection, cladding material maintenance, construction quality, downtime, response time of maintenance staff to attend to the rectification of defects and their core competency, were the most significant parameters associated with the maintainability of cladding facades. Cladding facades, Multiple regression analysis, Maintainability predicting system.