Real-time resource tracking for analyzing value-adding time in construction

Jianyu Zhao, Olli Seppänen, Antti Peltokorpi, Behnam Badihi , Hylton Olivieri

Research output: Contribution to journalArticleScientificpeer-review

60 Citations (Scopus)
436 Downloads (Pure)

Abstract

Improving the effectiveness of production control has attracted the interest of researchers and lean construction practitioners over recent years, through techniques such as Last Planner System (LPS) and Location-based Management System (LBMS). However, in these techniques, data collection and analysis still remain manual. Remotely locating workers on site has been suggested as a potential technology to collect crucial data required for production control. The purpose of this study is to test the applicability of a real-time tracking system for collecting data for production control in different types of construction projects. We applied Bluetooth Low Energy (BLE) technology in real-time tracking of workers in three case projects, including residential, office building, and plumbing renovation. We compared various tracking device placement strategies and analyzed the share of uninterrupted presence of workers in work locations based on the collected data. The findings show that both location-based and time-based information of workers can be obtained in real time from the proposed system, but issues of accuracy and coverage need to be considered when defining the data collection plan for each project. Accuracy and coverage issues can be resolved to a significant degree by applying heuristics in data analysis rather than investing in a more sophisticated tracking technology. The conclusion is that real-time tracking technologies are ready for implementation when certain heuristics and guidelines for installation are followed. It is possible to calculate a real-time presence index on a construction site. These data could be used to evaluate the impact of construction management interventions on waste on-site.
Original languageEnglish
Pages (from-to)52-65
Number of pages14
JournalAutomation in Construction
Volume104
DOIs
Publication statusPublished - 1 Aug 2019
MoE publication typeA1 Journal article-refereed

Keywords

  • real-time tracking
  • production control
  • construction
  • data analysis
  • value-adding time

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  • Intelligent Construction Site

    Seppänen, O. (Principal investigator), Olivieri, H. (Project Member), Zhao, J. (Project Member) & Mirzaeifar, S. (Project Member)

    01/10/201630/09/2018

    Project: Business Finland: Other research funding

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