Open AccessUsing the fault tree for analysis the schedule delay factors
Author(s) -
Yasser Abdel Shafy Gamal,
Mostafa Abd Elrazek
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/762/1/012009
Subject(s) - fault tree analysis , root cause , schedule , damages , computer science , root (linguistics) , tree (set theory) , risk analysis (engineering) , code (set theory) , operations research , root cause analysis , rank (graph theory) , operations management , reliability engineering , engineering , business , mathematics , mathematical analysis , linguistics , philosophy , combinatorics , law , political science , operating system , set (abstract data type) , programming language
The delaying in the construction projects is one of the magnifying problems facing the construction industry in Egypt, and still a lot of researchers interest to find the main reasons for these problems and suggest the solution for mitigate or avoid the problem, a lot of contractors in Egypt suffer from the liquated damages due to the delaying problems, although there are a lot of researchers find out the delaying factors problems, but we need to get the root cause analysis of the delaying factors, in our research, the investigation find out the most critical delaying factors and categorized the factors in modeling by using factor analysis methodology into 7 factors modelling and hence using the root cause analysis to link the reasons with each other, Fault tree is one of a valuable tool can be used to link with the reasons of delaying which will be used in our research and help us to investigate deeply with the roots of the problems which is our target in the research and in the final the major problems leads to most of the problems are the delaying of the supplies ( Code of Factor DF5) with mean 4.2039 and RII = 0.84078, A lot of change Orders ( code of Factor DF 14) with mean 4.1845 and RII =0.8369, no of delaying factors in our research are 22 factors which considering as an important delaying factors in the construction industry in Egypt, the survey pilot contains no of 103 questionnaires to rank the delaying factors by statistical analysis.