Data Analysis on Applying Real Time Tracking in Production Control of Construction
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Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
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Date
2018-02-12
Major/Subject
Mcode
Degree programme
Language
en
Pages
5
573-577
573-577
Series
The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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 to a more real-time and less laborious process. The availability of real-time, location-based data, opens possibilities to revolutionize production control. This paper proposes a prototype of an intelligent system for real time production control on construction site, defining the types of the tracking data, and investigating the utility of them. The prototype combines Bluetooth and WIFI network as connection methods, and locates resources and their movements in real-time, which can be used as a reference to explore proper solution on construction projects and potentially improve production efficiency, sustainability and management of workers.Description
Keywords
production control, real time tracking, system set-up, laboratory test, construction, data analysis
Other note
Citation
Zhao, J, Olivieri, H, Seppänen, O, Peltokorpi, A, Badihi, B & Lundström, P 2018, Data Analysis on Applying Real Time Tracking in Production Control of Construction . in The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) . IEEE, pp. 573-577, IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, Singapore, 10/12/2017 . https://doi.org/10.1109/IEEM.2017.8289956
