1Department of Mechanical Engineering, A.U College of Engineering, Andhra University, Visakhapatnam, India
2Department of Mechanical Engineering, A.U College of Engineering, Andhra University, Visakhapatnam, India
3Department of Mechanical Engineering, GVP School of Engineering, Gayatri Vidyaparishad College for Degree & P.G. Courses (A), Technical Campus, Visakhapatnam, India
Online published on 21 November, 2017.
Labour Productivity provides a relative measure of actual output of production compared to the actual input of resources against common entities. The increase of the labour productivity in any manufacturing company indicates that the process through which the same volume of work is materialized in a larger quantity of goods or, the same quantity of goods can be realized with a smaller volume of work. In this paper an attempt is made to identify key factors which are affecting on labour productivity using Factor analysis and then the factors are prioritized by adopting Multiple Regression Analysis. The key factors obtained in this work provide a basis for a manufacturing company to enhance their labour productivity. The methodology is demonstrated in this paper through a case study conducted in a steel manufacturing company.
Labour productivity, Factor analysis, Reliability analysis, Multiple regression analysis
