Construction is a labour-intensive industry. The project focuses on labour productivity in the construction industry. It
covers the construction labour productivity aspects, factors affecting it, comparison between the actual labour outcomes.
Regression analysis and analytic hierarchy process was used to develop a model to quantify labour productivity. The aim of this
study is to identify the key factors that affect the labour productivity in construction industry. Survey is carried out through
questionnaire and distributed to respondents who work at various projects in construction industry and the questionnaires are
rated by project managers, experienced engineers and labours using their past experiences. The data are collected and analysed.
Using this data the factors affecting labour productivity are identified and ranked. Thereafter, necessary suggestions are given to
improve the labour productivity.
