This Book explains the existing practices of contractors pre-qualification in newly developed countries. The most known models for contractor's pre-qualification that could be used for contractor's pre-qualification is presented. The Book concentrates on client's pre-qualification for contractors at the level of standing list. The main focus of this Book is the integration of contractor pre-qualification attributes with the project success factors (client¿s objectives) in terms of time, cost and quality (i.e. How the client could predict the contractors performance given his current attributes).
For this purpose, a Genetic Neural Network (GNN) model has built an automated system to predict the output of a given contractor attributes in terms of overruns (OR) of contractor's performance factors (time, cost and quality). This book is written for both clients and contractors. The project managers who are involved in contracts procurement, tendering and contractors selection are targeted. The contractors should be of interest of this book to cope with the requirement of clients conditions for contractor selection
For this purpose, a Genetic Neural Network (GNN) model has built an automated system to predict the output of a given contractor attributes in terms of overruns (OR) of contractor's performance factors (time, cost and quality). This book is written for both clients and contractors. The project managers who are involved in contracts procurement, tendering and contractors selection are targeted. The contractors should be of interest of this book to cope with the requirement of clients conditions for contractor selection
About the Author
Dr. Nabil I El-Sawalhi received his PhD degree from the School of the Built Environment, The University of Salford, UK. He is currently occupying the Emergency Shelter Assistance Coordinator at UNRWA-Gaza Strip. The author is the chairman of Engineering Arbitration Center - Engineers Syndicate-Gaza Governorate.
for more info: Contractors pre-qualification: Methods and Techniques
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