This paper is published in Volume-3, Issue-3, 2017
Area
Construction & Management
Author
Swapnali Sharad Onkar
Co-authors
Prof. Sanghmesh Ghale, Prof. S. V Pathaskar, Prof. Meena Kaulgi
Org/Univ
DY Patil College of Engineering, Akurdi, Maharashtra, India
Pub. Date
29 June, 2017
Paper ID
V3I3-1638
Publisher
Keywords
Construction Management, Facade, Scheduling, Multiple regression.

Citationsacebook

IEEE
Swapnali Sharad Onkar, Prof. Sanghmesh Ghale, Prof. S. V Pathaskar, Prof. Meena Kaulgi. Estimation Model on Facade in High Rise Building, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Swapnali Sharad Onkar, Prof. Sanghmesh Ghale, Prof. S. V Pathaskar, Prof. Meena Kaulgi (2017). Estimation Model on Facade in High Rise Building. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.

MLA
Swapnali Sharad Onkar, Prof. Sanghmesh Ghale, Prof. S. V Pathaskar, Prof. Meena Kaulgi. "Estimation Model on Facade in High Rise Building." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.

Abstract

As we are aware with the increasing competitive market in the construction industries due upcoming speedy and efficient techniques construction personnel have to be more careful in all their decisions. Many existing studies shows schedule management focus on the planning stage particularly on schedule estimate based on labor and equipment resources. For this study, facade was selected because of its importance in construction activity in terms of schedule estimation for high rise construction. To develop a schedule estimation model for facade, an in depth case study was conducted. Results of case study have then used in Monte Carlo Simulation. Finally, by using the results of the simulation, a schedule estimation model for facade construction will be developed conducting multiple regression analysis. This developed model will help the project managers to easily, quickly and accurately perform schedule estimation when problem occur that may cause construction delay and time extension
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