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Statistical Analysis of Construction Projects using Artificial Intelligence with The Help of Primavera

Author(s):

Gyanendra P. S. Gautam , NITTTR, Bhopal; Prof. M. C. Paliwal, NITTTR, Bhopal; Er. Puneet Singh, Central University of Punjab

Keywords:

Construction Projects, Artificial Intelligence, Primavera

Abstract

The timely completion of any construction project is no doubt one among the most vital aspects for any project manager. The involvement of numerous different type and nature of works, and hundreds or many times thousands of numbers of activities make it a very sophisticated job to perform. Since most of the activities are interrelated, the importance of every single activity is to be understood well. It is therefore very important to consider all the possible factors that would directly or indirectly affect the progress of the project. In this study, two construction projects of high repute were analyzed that are being presently built in Bhopal. A questionnaire was formulated and personal interviews were conducted with the senior engineers and managers of both the projects. The survey was conducted by means of direct interactions to get realistic and explained responses. The responses were recorded and analyzed statistically and the following major problems were identified that were responsible for late completion of project - late approval of material samples, slow decision making, delayed approval & revision of drawings, change orders in the design during the course of work, poor communication and coordination, excessive mistakes & discrepancies in good for construction drawings provided by the consultant, poor communication & coordination between parties and lack of use of latest planning tools like MS-Project and Primavera.

Other Details

Paper ID: IJSRDV7I100161
Published in: Volume : 7, Issue : 10
Publication Date: 01/01/2020
Page(s): 207-210

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