NETWORKING PROJECT PLANNING AND SCHEDULING OF BUILDING CONSTRUCTION USING ROBUST REGRESSION ANALYSIS BASED ON ITERATIVE REWEIGHTED LEAST SQUARES

Abstract: Effective project planning and scheduling are crucial for the successful execution of building construction projects. Traditional scheduling methods often encounter challenges such as uncertainty in task durations and resource constraints. This research explores the application of robust regression analysis, specifically iterative reweighted least squares (IRLS), as a method to enhance the accuracy and reliability of project planning and scheduling networks. Robust regression techniques are employed to mitigate the impact of outliers and deviations from normal distributions, common in construction project data. The study focuses on developing a framework that integrates robust regression into the scheduling process, aiming to improve the estimation of task durations, resource allocation, and overall project timelines. Through the case study, the method use is critical path method (CPM), project evaluation review technique (PERT) which identified the critical paths and probability of finishing the project on time. The research extends to regression analysis using ordinary least squares to determine the relationship between the independent variables (Time optimistic, Time most likely and Time pessimistic) to the dependent variable and identify outliers in the data.MM Estimation was use to minimize the outliers. The efficacy of the proposed approach is demonstrated, highlighting its potential to enhance the efficiency and resilience of project management practices in building construction.

Keywords: Regression Analysis, Iterative reweighted Least Squares, Planning and Scheduling.

Title: NETWORKING PROJECT PLANNING AND SCHEDULING OF BUILDING CONSTRUCTION USING ROBUST REGRESSION ANALYSIS BASED ON ITERATIVE REWEIGHTED LEAST SQUARES

Author: Udensi, Chiege .N, Lasisi K.E, Abdulrasheed. B, Mathias Ojochide Enemali 

International Journal of Recent Research in Mathematics Computer Science and Information Technology

ISSN 2350-1022

Vol. 11, Issue 1, April 2024 - September 2024

Page No: 44-58

Paper Publications

Website: www.paperpublications.org

Published Date: 27-August-2024

DOI: https://doi.org/10.5281/zenodo.13379601

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https://www.paperpublications.org/upload/book/NETWORKING%20PROJECT%20PLANNING-27082024-2.pdf