A Model for Evaluation ofDelays in Construction Projects
GhadaTaha Abd AlAaty;
Abstract
The Construction industry in Egypt is an indicator of the development. It creates funding opportunities across various related sectors. Delays have negative effects on construction industry. Thus, thedelay in construction industry may lead to delay of the desired economic development. This study aims to identify the major causes of delays. Delays mainly caused by owner, consultant, or contractor. It may be excusable or non-excusable delays. The study depends on a questionnaire survey list for determining the probability and the severity for the main causes of delay in construction projects. The questionnaire consists of total 63 factors distributed in ten groups. The groups selected based on literature review and the modification of experts. These ten groups have been consisted of 63 factors.
From survey there is a strong relationship between the point of view of consultant and contractor. The correlation coefficient between consultant and contractor was (0.61).
Also it's found a strong relationship between the point of view of owner and consultant. The correlation coefficient between owner and consultant was (0.57).
In other hand, it's found a good relationship between the point of view of owner and contractor. The correlation coefficient between owner and contractor was (0.45).
In this study, the researcher found that top five important factors that effect on delays are (1)Delay in progress payments by owner. (2) Poor site management and supervision by contractor. (3) Lack in qualified labors. (4) Difficulties in financing project by contractor. (5) Ineffective planning and scheduling of project by contractor.
A model was designed to allow users getting the most important factors easilyaccording to its importance index (IMP.I). As theimportance index (IMP.I) formula depends on probability index and severity index the user can choose an appropriate probabilityaccording to his survey or his own opinion,while the severity index is a stored value in the program and then ranking all causes according to their importance index. The model was designed by using a programming language for building applications and software components called C#.net.
Key words:Construction industry, causes of delay, questionnaire survey.
From survey there is a strong relationship between the point of view of consultant and contractor. The correlation coefficient between consultant and contractor was (0.61).
Also it's found a strong relationship between the point of view of owner and consultant. The correlation coefficient between owner and consultant was (0.57).
In other hand, it's found a good relationship between the point of view of owner and contractor. The correlation coefficient between owner and contractor was (0.45).
In this study, the researcher found that top five important factors that effect on delays are (1)Delay in progress payments by owner. (2) Poor site management and supervision by contractor. (3) Lack in qualified labors. (4) Difficulties in financing project by contractor. (5) Ineffective planning and scheduling of project by contractor.
A model was designed to allow users getting the most important factors easilyaccording to its importance index (IMP.I). As theimportance index (IMP.I) formula depends on probability index and severity index the user can choose an appropriate probabilityaccording to his survey or his own opinion,while the severity index is a stored value in the program and then ranking all causes according to their importance index. The model was designed by using a programming language for building applications and software components called C#.net.
Key words:Construction industry, causes of delay, questionnaire survey.
Other data
| Title | A Model for Evaluation ofDelays in Construction Projects | Other Titles | نمذجة لتقييم التأخير خلال مشروعات التشييد | Authors | GhadaTaha Abd AlAaty | Issue Date | 2016 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| G12469.pdf | 504.58 kB | Adobe PDF | View/Open |
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