Construction Planning by Engineer-In-Training: Quantitative Methods and Practical Cases

Author(s): Ming Lu

Edition: 1

Copyright: 2020

Choose Your Format

Website

$66.85

ISBN 9781524994204

Details KHPContent 180 days

New Publication Coming Soon!

Ming Lu

Ming Lu, PhD, PEng, is a Professor of Construction Engineering and Management in the Department of Civil and Environmental Engineering, University of Alberta. Dr. Lu is widely known in the academic community for contributions in developing Quantitative Methods for Simulation, Optimization and Automation for Construction Engineering and Project Management.  Dr Lu has cooperated with industry on implementing research for productivity, including the optimization of the steel installation sequence and space use in the construction of the “Bird’s Nest”. Since Sept. 2010, Dr. Lu has led the continuous growth of the Construction Automation Lab at U Alberta as a unique academia-industry collaboratory for research and education. At UAlberta, Dr. Lu offers undergrad and graduate courses on Construction Estimating, Planning, and Control; Analytical Methods for Project Management; and Productivity Model and Analysis.

New Publication Coming Soon!

Ming Lu

Ming Lu, PhD, PEng, is a Professor of Construction Engineering and Management in the Department of Civil and Environmental Engineering, University of Alberta. Dr. Lu is widely known in the academic community for contributions in developing Quantitative Methods for Simulation, Optimization and Automation for Construction Engineering and Project Management.  Dr Lu has cooperated with industry on implementing research for productivity, including the optimization of the steel installation sequence and space use in the construction of the “Bird’s Nest”. Since Sept. 2010, Dr. Lu has led the continuous growth of the Construction Automation Lab at U Alberta as a unique academia-industry collaboratory for research and education. At UAlberta, Dr. Lu offers undergrad and graduate courses on Construction Estimating, Planning, and Control; Analytical Methods for Project Management; and Productivity Model and Analysis.