Framework for Productivity of Precast Concrete Elements Using Multivariable Linear Regression Technique

A statistical tool that allows us to analyse how multiple independent variables are related to a dependent variable is known as multi variable linear regression technique. The examination of these relationships leads to the formation of networks of variables that provide the basis for the development of theories about a phenomenon. For the productivity estimation, there can be so many factors that influence the productivity of Precast element .Precast concrete products are generally used to shorten project duration and provide higher quality and more sustainable construction projects. There are many factors affecting productivity in precast concrete construction sites are availability of experience labour, availability of tools and equipment, frequency of inspection, payment delay, healthy management, health status, quality of framework, maintenance. This study contributes to the construction management knowledge by providing simple but effective models to increase productivity precast elements. Snehal Dewalkar | Kothari Rishab | Kolekar Kushal | Kothavade Akshay | Kuwar Niranjan | Deore Sarang"Framework for Productivity of Precast Concrete Elements Using Multivariable Linear Regression Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14278.pdf http://www.ijtsrd.com/engineering/civil-engineering/14278/framework-for-productivity-of-precast-concrete-elements-using-multivariable-linear-regression-technique/snehal-dewalkar