 Professor Osama Moselhi Ph.D.,
P. Eng., Fellow AACE, CSCE and ASCE
Dr. Moselhi is Professor of Engineering in the Department of
Building, Civil and Environmental Engineering at Concordia University. He served
as Department Chair and Executive Advisor to the Dean of the Faculty on graduate
studies and research and on space planning and appraisal of graduate programs.
Since joining Concordia in 1985, after a decade of industry
experience, Dr. Moselhi supervised and co-supervised
over 80 Masters and Ph.D. graduates, authored and co-authored over 350
scientific publications. His industry experience spans tall buildings, bridges,
nuclear power plants, harbour and offshore facilities. He is recipient of
numerous honors and awards; including the prestigious CSCE Walter Shanly Award
in recognition of “outstanding contributions to the development and practice
of construction engineering in Canada” and the international Tucker-Hasegawa
Award, in recognition of “individuals in industry or academia who have made a
major, sustained contribution to the field of Automation and Robotics in
Construction". Dr. Moselhi served as international consultant on academic
affairs and on construction projects in Canada, USA, and the Middle East. His
research interest encompasses planning, procurement, resource allocation,
tracking and control of construction projects, with a focus on risk management,
productivity analysis, management of construction claims and development of
decision support systems embracing information technology, remote sensing,
web-enabling and spatial technologies. Presentation
Synopsis: Visualization
of onsite construction progress using remote sensing and BIM Tracking,
trending and progress reporting of onsite construction operations have received
considerable attention from practitioners and academics alike ever since the
introduction of the earned value management (EVM) method back in 1976 by the
United States Department of Defense for progress reporting. The use and
applications of this method in management of engineering, procurement and
construction projects has been the subject of numerous publications, most
notably those produced by the U.S.A. Department of Energy, and National
Aeronautics Space Agency and those described in a number of textbooks.
This presentation will describe the essential requirement for accurate
and reliable utilization of EVM and it will highlight the challenges in its use
for reporting periodic progress and for forecasting. The progress made over the
last few decades in reporting the estimated earned value, i.e. the budgeted cost
of work performed, will be described with a focus on the use of automated site
data acquisition technologies for that purpose. This includes the use of global
positioning system (GPS), radio-frequency identification (RFIDs), and wireless
sensor networks, along with their respective communication protocols. Integrated
with these deployed data capturing technologies are BIM (building information
modelling) and project schedule to generate 4D dynamic project model that
provides useful visualisation capabilities in reporting physical progress
onsite. The presentation will also introduce recently developed self-adaptive
models and practical guidelines for accurate forecasting of project cost and
duration at completion and/or at any given time horizon. Selected set of example
project applications will be presented to illustrate the use of the automated
site data acquisition technologies described above and to demonstrate the
visualisation capabilities achieved using BIM. | 