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العنوان
Risk Assessment Model for Contractor Possibilities and Capabilities in Infrastructure Projects /
المؤلف
El-Sheikh, Mohamed Aly Mohamed.
هيئة الاعداد
باحث / محمد علي محمد الشيخ
مشرف / خالد محمد حيزة
مناقش / كريم محمد محمود الدش
مناقش / كامل سيد أحمد قنديل
الموضوع
Civil Engineering. Structural engineering.
تاريخ النشر
2018.
عدد الصفحات
173 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة المدنية والإنشائية
تاريخ الإجازة
14/1/2018
مكان الإجازة
جامعة المنوفية - كلية الهندسة - الهندسة المدنية
الفهرس
Only 14 pages are availabe for public view

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Abstract

This thesis offers a comprehensive risk assessment methodology that provides a
decision support tool, directed for construction organizations, which can be utilized
through the bidding decisions for infrastructure projects. Within this context the
analytic network process technique is implemented to develop a risk assessment
model, which is used to derive the relative priorities of the risk factors associated with
infrastructure projects to determine the most capable contractor to deal with risks in
infrastructure projects. The findings of the risk assessment model have demonstrated
that the most significant sources of risk are Instability of Economic Conditions,
vagueness of contract conditions, and immaturity of legal system in the country.
Factors such as Strict Environment Regulation, Strict Safety & Health Requirements,
and Corruptions were found to be relatively insignificant.
The aim of this research is to develop a model that combines both research standpoints
and develop a risk assessment model for infrastructure projects by using Analytic
Network Process (ANP), to determine contractor capabilities and possibilities for this
kind of projects. In order to be able to achieve the previously stated objectives
supportive methodology was prepared, thus the methodology followed in this thesis is
avowed below:
 Identification of the risk factors associated with infrastructure projects through
literature review, discussion sessions, and experience.
 Development of the logical grouping for the identified risk factors according to the
potential relations between them, and then creates the risk breakdown structure
consequential from the logical grouping of the risk factors.
 Utilization of SUPERDECISIONS software to construct the (ANP) model and find
the importance weights priorities of the risk factors.