Critical review and road map of automated methods for earthmoving equipment productivity monitoring

C Chen, Z Zhu, A Hammad - Journal of Computing in Civil …, 2022 - ascelibrary.org
Monitoring the productivity of construction equipment would help to improve construction
productivity, control cost, and discover potential project issues. However, manual equipment …

The last planner system of production control

HG Ballard - 2000 - etheses.bham.ac.uk
Project controls have traditionally been focused on after-the-fact detection of variances. This
thesis proposes a control system, the Last Planner system, that causes the realization of …

Measuring and modeling labor productivity using historical data

L Song, SM AbouRizk - Journal of construction engineering and …, 2008 - ascelibrary.org
Labor productivity is a fundamental piece of information for estimating and scheduling a
construction project. The current practice of labor productivity estimation relies primarily on …

Analyzing context and productivity of tunnel earthmoving processes using imaging and simulation

H Kim, S Bang, H Jeong, Y Ham, H Kim - Automation in Construction, 2018 - Elsevier
This study presents an integrated method of construction-process simulation and vision-
based context reasoning for productivity analysis of an earthmoving process in a tunnel …

An optimisation approach to materials handling in surface mines

CN Burt - 2008 - espace.curtin.edu.au
In the surface mining industry the equipment selection problem involves choosing a fleet of
trucks and loaders that have the capacity to move the materials specified in the mine plan …

[HTML][HTML] BIM-assisted labor productivity measurement method for structural formwork

J Lee, YJ Park, CH Choi, CH Han - Automation in Construction, 2017 - Elsevier
Abstract Knowledge of labor productivity is essential for cost estimation and progress
control. Due to the limited availability of automatic generation technology for integrated …

Simulation-based construction productivity forecast using neural-network-driven fuzzy reasoning

F Mirahadi, T Zayed - Automation in Construction, 2016 - Elsevier
Abstract Fuzzy models and Artificial Neural Network (ANN) systems are two well-known
areas of soft-computing that have significantly helped researchers with decision-making …

Labour productivity model for reinforced concrete construction projects

H Jang, K Kim, J Kim, J Kim - Construction Innovation, 2011 - emerald.com
This study aims to identify systematically the factors that can often influence labour
productivity directly and indirectly, to build a model that can evaluate the significance of …

Construction equipment productivity estimation using artificial neural network model

SC Ok, SK Sinha - Construction Management and Economics, 2006 - Taylor & Francis
Estimating equipment production rates is both an art and a science. An accurate prediction
of the productivity of earthmoving equipment is critical for accurate construction planning …

Predicting the construction labour productivity using artificial neural network and grasshopper optimisation algorithm

P Goodarzizad, E Mohammadi Golafshani… - International Journal …, 2023 - Taylor & Francis
The construction industry is mainly dependent on human resources, and labour costs are
significant. Although many researchers have investigated construction labour productivity …