A significant body of literature has been dedicated to research studies on construction labor
productivity (CLP) and related issues, and many underlying theories and industrial practices …

The first journal article on neural network application in civil/structural engineering was
published by in this journal in 1989. This article reviews neural network articles published in …

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 …

The purpose of this study is to provide industry practitioners with a better understanding of
the impacts of high-temperature conditions on construction labor productivity. Such …

Human resource today has a strategic role for productivity increase of any organization, and
this makes it superior in the industrial competition. With the effective and optimum usage of …

Delays on construction projects cause financial losses for project stakeholders in developing
countries. This paper describes how Bayesian belief network (BBN) is applied to quantify the …

Variations in labor productivity are the result of multiple influential factors. This paper
attempts to develop a labor productivity model based on multilayer feedforward neural …

Research was undertaken to develop a method to assist in the determination of the lower
and upper activity duration values for schedule risk analysis by program evaluation and …

Improvement of productivity in construction has been a major industry challenge, given its
high impact on project results. It has received increased attention from construction …

Construction labor productivity is a fundamental piece of information for estimating,
budgeting, and scheduling a construction project. The current practice to estimate …