Quantitative Techniques for Decision Making in Construction


S. L. Tang, Irtishad U. Ahmad, Syed M. Ahmed, and Ming Lu

ISBN : 978-962-209-705-6

Engineering, Real Estate and Construction, Transportation, Agriculture

June 2004

228 pages, 7″ x 10″

  • HK$150.00

This is a text book as well as a reference book for decision making in construction. The book is written to serve undergraduates of construction-related programmes and postgraduate students undertaking construction management bridging courses. It contains mainly quantitative techniques used to assist decision making, including analytic hierarchy process (AHP), decision theories, conditional probabilities and the value of information, inventory modeling, dynamic programming, Monte-Carlo simulation, CYCLONE simulation modeling, information systems and process of decision making in construction. Plenty of real life examples are used to illustrate the theories, arguments and calculations. It is written in simple and easy to understand language. Readers will benefit from the book even by self studying because all the topics are described and developed in a logical and organized manner, from basic to complex. Moreover, the most up-to-date information on the development of AHP, simulation modelling, information systems and process of decision making are covered.

Dr S. L. Tang and Dr Ming Lu are faculty members in the Department of Civil and Structural Engineering of the Hong Kong Polytechnic University. Dr Irtishad U. Ahmad and Dr Syed M. Ahmed are faculty members in the Department of Construction Management of Florida International University in Miami. Ahmad is also the current Editor-in-Chief of the ASCE Journal of Management in Engineering.

“This is a rare text with applications related to the construction field. Good for construction students, especially non-engineering students.” —Dr K. C. Lam, Department of Building and Construction, City University of Hong Kong

“This is a convenient overview of most of the popular methods. Can fit into modules and syllabuses concerning quantitative techniques in courses in taught undergraduate and postgraduate levels.” —Dr Daniel C. W. Ho, Department of Real Estate and Construction, University of Hong Kong