Impact of Fast Automated Tracking of Construction Components on Labor Productivity

Abstract

Even though the fundamental importance of construction components in any given project, industry practices still solely rely on the human ability to individually control thousands of these components on the field. This lack of automation frequently results in critical errors that negatively affect project cost and schedule. Recently, though, the undemonstrated notion that materials tracking processes can highly benefit from the implementation of information technologies has been gaining wide industry acceptance. This paper presents the results of a massive study on a large industrial site that aimed at quantifying the impact associated with automating materials tracking processes on craft labor performance. For this purpose, field records from manual and automated tracking processes were collected during the trial. Then, the influence of the automated tracking process on construction performance was determined by considering the manual approach as the baseline for comparison. The results indicate that information technologies can significantly enhance craft labor productivity. Motivation

Impact of management practices on construction productivity in Indian building construction projects: an empirical study1

“…Productivity could be measured at different levels, but there are three main productivity measures: metronomic, case-by-case and pricing studies. The financial wealth of nations is determined by their productivity growth (Fulford and Standing 2014;Tsehayae and Fayek 2016;Mani et al 2017;Grau et al 2009;Kaming et al 1997). The countries experienced higher productivity growth as a result of the increase in the average wage of workers which contributes to the profits and tax revenue of the countries.…”

Analysing Enabling Factors Affecting the On-site Productivity in Indian Construction Industry

“…Analytical hierarchy process used to prioritise the factors affecting workforce construction productivity and the finding suggests that major significant factors are planning and schedule related. A number of researcher's identified and analyzed the factors affecting CP in different scenario's and ranked them on the basis of their severity of impact and relative importance index values derived using different approaches such as: reliability importance index, some statistical tools, analytical hierarchal analysis, principal component analysis or factor analysis, SOM-based models, system dynamics based approaches, and other tools and techniques (Dai et al, 2009;Grau et al, 2009b;Jarkas, 2015;Ma and Liu, 2018;Oral and Oral, 2010;Rivas et al, 2011;Sweis et al, 2016;Thomas and Sudhakumar, 2013). Kisi et al (2017) provide a framework for estimating the labor productivity frontier and applying this framework to a pilot study that tests the feasibility of this framework against a single-worker, labor-intensive, sequential construction task.…”

An Integration of Wi-Fi Based Locating System and GIS for Improving Construction Labour Communications

“…For example, Grau et al [4] reported that the average work time spent per component for a boiler on a construction site is 36 min in traditional tracking process, and they improve the amount of time to 4 min by using a RTLS-based tracking system and this potentially saves $120,000 for the task and save $12.5 per tag. Talavera et al [5] estimated an annual saving of US$412, 057 for a steel production company by utilizing a RTLS technology (i.e.…”