• العربية
    • English
  • English 
    • العربية
    • English
  • Login
Home
Publisher PoliciesTerms of InterestHelp Videos
Submit Thesis
IntroductionIUGSpace Policies
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
  •   Home
  • Faculty of Engineering
  • Staff Publications- Faculty of Engineering
  • View Item
  •   Home
  • Faculty of Engineering
  • Staff Publications- Faculty of Engineering
  • View Item

Please use this identifier to cite or link to this item:

http://hdl.handle.net/20.500.12358/26442
TitleDeveloping a model for construction contractors pre-qualification in the Gaza Strip and West Bank
Untitled
Abstract

Contractor pre-qualification is characterised as a multi-criteria problem with uncertain inputs. The criteria used for pre-qualification includes qualitative and quantitative information. Owing to the nature of pre-qualification, which depends on subjective judgements of construction professionals, it becomes an art rather than a science. Two approaches are found in the literature to model the contractor's pre-qualification criteria; Linear and non-linear models. The main aim of this research is to offer a rational method for contractor prequalification that enables to pre-qualify the contractors who are able to achieve the client's objectives. The main question guiding the research is how to be sure that the selected contractor is able to achieve the client's objectives. It is believed that there is an indirect relationship between the contractor's attributes and the contractor's ability to achieve the client's objectives. The time, cost and quality overruns of a project have been used as indicators to measure the contractor's ability to achieve client's objectives. To achieve this aim, the methodologies used included literature review, questionnaires, surveys, and hypothetical and real-life case studies. This work suggested improvements to the previous contractor pre-qualification models by using a hybrid model, combining the merits of Analytical Hierarchy Process (AHP), Neural Networks (NN) and Genetic Algorithms (GA) in one consolidated model called the Genetic Neural Network (GNN) model. AHP was used to establish relative weights of the contractor's pre-qualification criteria; NN was used as the main processing tool to find a relationship between the contractor's …

Authors
El-Sawalhi, Nabil I.
TypeJournal Article
Date2007
Published inUniversity of Salford
Citation
Item linkItem Link
License
Collections
  • Staff Publications- Faculty of Engineering [906]
Files in this item
There are no files associated with this item.

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback
 

 

Browse

All of IUGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsSupervisorsThis CollectionBy Issue DateAuthorsTitlesSubjectsSupervisors

My Account

LoginRegister

Statistics

View Usage Statistics

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback