A REVIEW ON SCHEDULE DELAYS IN INFRASTRUCTURE PROJECTS
Author(s):
MOHAMMED ABDUL WAJID SIDDIQUI, DR. MIR IQBAL FAHEEM
Keywords:
Infrastructure Projects, Schedule Delays, Predictive Analytics, Statistical Test, Construction Agencies.
Abstract
The construction industry is a major sector of the economy for most of the developing countries. However, major infrastructure projects experiences extensive schedule delays in the operational process. This research aims to identify the causes of schedule delays in the construction sector to assess and communicate its importance to the all project stakeholders, the owner, the contractor the consultant, etc. An extensive literature review is done to identify the causes of delays, methods of minimizing delays for minimizing the schedule delays while maintaining the quality, safety and budget. Based on the review, different causes of schedule delay were identified. Further, techniques of analyzing causes of schedule delays using questionnaire surveys by made by various researchers previously during past twenty-one years were researched upon, compared and discussed. Many researchers have used questionnaire surveys and categorized schedule delay causes by Frequency Index, Severity Index, and Importance Index followed by application statistical analysis tools like ANOVA test or Spearman’s Correlation or Kruskall-Wallis test to find the degree of relationship between the variables. Consequently, this research suggests the robust analysis method for identification of schedule delays in the context of infrastructure projects. The scope of this research framework shall direct extensive analysis and adaptation of suitable statistical methods to provide a detailed insight on critical causes which are responsible for the schedule delays in infrastructure projects. The findings of this research can be used as a guide for the overall improvement and implementation in construction management practices by the construction agencies.
Article Details
Unique Paper ID: 150667

Publication Volume & Issue: Volume 7, Issue 8

Page(s): 234 - 243
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