Construction Program Management - Decision Making and Optimization Techniques

by Ali D. Haidar

Overview

Exploring complex and intelligent analytical and mathematical methods, this book examines how different approaches can be used to optimize program management in the construction industry. It presents an in-depth study of the different program management methods, ranging from simple decision-making techniques and statistics analysis to the more complex linear programming and demonstrates how knowledge-base systems and genetic algorithms can be used to optimize resources and meet time, budget and quality criteria. It addresses topics including decision-making principles, planning and scheduling, mathematical forecasting models, optimization techniques programming and artificial intelligence techniques. Providing a valuable resource for anyone managing multiple projects in the construction industry, this book is intended for civil and construction engineering students, project managers, construction managers and senior engineers.

Product Details

ISBN-13:	9783319207735
Publisher:	Springer International Publishing
Publication date:	09/13/2015
Edition description:	1st ed. 2016
Pages:	183
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

About the Author

Prof Ali D. Haidar, BSc, MSc, PhD has been extensively active in the construction industry for more than 25 years, and is currently a consultant for Dar al Riyadh (Engineering and Architecture) based in Saudi Arabia. He is a member of Institute of Transportation Engineers (USA), Institute of Civil Engineers (Lebanon) and Institute of Civil Engineers (Great Britain). Prof Haidar has also published two books and several journal papers on construction management and decision making techniques for the construction industry.

Table of Contents

Program Management Perspective.- Decision-making Principles.- Planning and Scheduling – A Practical and Legal Approach.- Mathematical Methods – Statistics and Forecasting.- Operations Research and Optimization Techniques.- Techniques for Intelligent Decision Support Systems.