IDENTIFICATION AND MITIGATION OF FACTORS AFFECTING HUMAN RESOURCE PRODUCTIVITY IN CONSTRUCTION
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.8, No. 1)Publication Date: 2017-01-01
Authors : Sumpa Dey; S. Manikanda Prabhu; G. Siva Subramani;
Page : 123-131
Keywords : Productivity; labour power; maximization; output; performance;
Abstract
Productivity plays a key role in construction industry in which only productive resource is labour power and industry is mainly dependent upon the effort and performance of human resource. As construction is a human intensive industry, this study focuses on productivity of labour in construction site. Construction industry is facing lot of problems of low productivity. Therefore any improvement of labour productivity provides high productivity and improvement in the whole performance such as cost, quality and time in construction industry. From this study the critical factors that affecting labour productivity in construction industry can be identified and from those again identify the factors which affecting a greater extent and assess its impact in productivity. The advantages of maximization of labour productivity in construction includes increase rate of output, reduction of overall cost, maintaining the planned rate of production, maintain high quality standard etc. This study is conducted; therefore to identify the factors affecting labour productivity which is confined to construction projects undertaken by Chennai based construction companies and the rank the relative importance of factors that affect labour productivity in construction site. A various interviews response by direct interview and journal study were done to identify the common factors affecting labour productivity at construction site and these were used to prepare the questionnaire. In questionnaire, factors are classified in six main categories. The data are collected from residential and commercial constructions projects in Chennai only. The collected data are analyzed using statistical analysis of SPSS (Statistical Package for Social Science). Based on finding and also on suggestions given by experts, this paper recommends that supervisors should be experienced, labours should be trained, financial incentives (bonus, award etc) should be given, communication should be improved, wastage should be minimized, clarity of technical information should be given to the workers and weekly progress report should be maintained.
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Last modified: 2017-02-18 18:25:21