| Title |
Data Acquisition Technology (DAT) Selection Algorithm for Automated Progress Measurement and Management |
| Authors |
Kang, Seunghee ; Jung, Youngsoo |
| DOI |
http://dx.doi.org/10.6106/KJCEM.2012.13.1.077 |
| Keywords |
Schedule control ; Progress Measurement ; Automation ; Sensing ; DAT(Data Acquisition Technology) |
| Abstract |
Progress measurement provides project participants with valuable information in terms of 'current status', 'corrective countermeasure', and 'forecast of future risks'. However, the managerial effort (or workload) required to acquire and maintain detailed progress data has been the major barrier to practical implementation. Even though recent efforts in utilizing data acquisition technologies (DATs) have actively attempted to automate the progress measurement process, previous DAT research has only been focused on limited construction tasks or selected technologies. This paper proposes a DAT selection algorithm that automatically assign an appropriate DAT for every commodity item for an entire constriction project. Five different criteria were identified and developed in order to comprehend specific requirements for automating the progress measurement of each commodity group. A casestudy and also a survey from practitioners were conducted in order to validate the proposed methodology. |