2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2017
DOI: 10.1109/ieem.2017.8289956
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Data analysis on applying real time tracking in production control of construction

Abstract: The interest in production control has increased over recent years, especially among lean construction practitioners. Despite of advanced planning and control methods, the data of on-site processes are still typically collected manually. At the same time, technology has been developed to the point where it is possible to remotely locate people, equipment and products in supply chains. Therefore, how to obtain and manage data in construction based on real time tracking is critical to change production control t… Show more

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Cited by 16 publications
(12 citation statements)
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“…The site of the case project was digitised for providing connectivity to mobile devices and IoT sensors. The technical solution was developed based on experiences from the iCONS project (Zhao et al, 2018). The use of mobile applications provided a new source of data for the scientific work.…”
Section: Methodsmentioning
confidence: 99%
“…The site of the case project was digitised for providing connectivity to mobile devices and IoT sensors. The technical solution was developed based on experiences from the iCONS project (Zhao et al, 2018). The use of mobile applications provided a new source of data for the scientific work.…”
Section: Methodsmentioning
confidence: 99%
“…Many technologies have been applied for resource tracking in construction, such as passive RFID (Costin et al, 2012), ZigBee (Liu et al, 2007), BLE (Zhao et al, 2017), (Dror, 2018), magnetic field (Park et al, 2016), and Global Positioning System (GPS) (Alarifi et al, 2016). GPS is a mature technology for tracking, but it is not suitable for indoor positioning (Liu et al, 2007).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Over the last past years, previous studies have confirmed that there is substantial room for productivity improvement in construction industry in terms of scheduling, labor training and quality control (Arditi and Mochtar 2000). Therefore, there is a need for automatic-generated information for onsite resource management such as labors, materials and equipment (Zhao et al 2018).…”
Section: Introductionmentioning
confidence: 99%